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Harjunen VJ, Spapé M, Ravaja N. Anticipation of sexually arousing visual event leads to overestimation of elapsed time. PLoS One 2024; 19:e0295216. [PMID: 38995957 PMCID: PMC11244774 DOI: 10.1371/journal.pone.0295216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 06/26/2024] [Indexed: 07/14/2024] Open
Abstract
Subjective estimates of duration are affected by emotional expectations about the future. For example, temporal intervals preceding a threatening event such as an electric shock are estimated as longer than intervals preceding a non-threatening event. However, it has not been unequivocally shown that such temporal overestimation occurs also when anticipating a similarly arousing but appealing event. In this study, we examined how anticipation of visual erotic material influenced perceived duration. Participants did a temporal bisection task, where they estimated durations of visual cues relative to previously learned short and long standard durations. The color of the to-be-timed visual cue signalled either a chance of seeing a preferred erotic picture at the end of the interval or certainty of seeing a neutral grey bar instead. The results showed that anticipating an appealing event increased the likelihood of estimating the cue duration as long as compared to the anticipation of a grey bar. Further analyses showed that this temporal overestimation effect was stronger for those who rated the anticipated erotic pictures as more sexually arousing. The results thus indicate that anticipation of appealing events has a similar dilating effect on perceived duration as does the anticipation of aversive events.
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Affiliation(s)
- Ville Johannes Harjunen
- Faculty of Medicine, Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Michiel Spapé
- Centre for Cognitive and Brain Sciences, University of Macau, Macau, China
| | - Niklas Ravaja
- Faculty of Medicine, Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
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2
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Brinkmann P, Devos JVP, van der Eerden JHM, Smit JV, Janssen MLF, Kotz SA, Schwartze M. Parallel EEG assessment of different sound predictability levels in tinnitus. Hear Res 2024; 450:109073. [PMID: 38996530 DOI: 10.1016/j.heares.2024.109073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 05/23/2024] [Accepted: 07/02/2024] [Indexed: 07/14/2024]
Abstract
Tinnitus denotes the perception of a non-environmental sound and might result from aberrant auditory prediction. Successful prediction of formal (e.g., type) and temporal sound characteristics facilitates the filtering of irrelevant information, also labelled as 'sensory gating' (SG). Here, we explored if and how parallel manipulations of formal prediction violations and temporal predictability affect SG in persons with and without tinnitus. Age-, education- and sex-matched persons with and without tinnitus (N = 52) participated and listened to paired-tone oddball sequences, varying in formal (standard vs. deviant pitch) and temporal predictability (isochronous vs. random timing). EEG was recorded from 128 channels and data were analyzed by means of temporal spatial principal component analysis (tsPCA). SG was assessed by amplitude suppression for the 2nd tone in a pair and was observed in P50-like activity in both timing conditions and groups. Correspondingly, deviants elicited overall larger amplitudes than standards. However, only persons without tinnitus displayed a larger N100-like deviance response in the isochronous compared to the random timing condition. This result might imply that persons with tinnitus do not benefit similarly as persons without tinnitus from temporal predictability in deviance processing. Thus, persons with tinnitus might display less temporal sensitivity in auditory processing than persons without tinnitus.
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Affiliation(s)
- Pia Brinkmann
- Faculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, Maastricht 6229 ER, the Netherlands
| | - Jana V P Devos
- School for Mental Health and Neuroscience, Maastricht University, Maastricht 6229 ER, the Netherlands; Department of Ear Nose Throat Head and Neck Surgery, Maastricht University Medical Center, Maastricht University, Maastricht 6229 HX, the Netherlands
| | - Jelle H M van der Eerden
- School for Mental Health and Neuroscience, Maastricht University, Maastricht 6229 ER, the Netherlands; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AZ, the Netherlands
| | - Jasper V Smit
- Department of Ear, Nose, and Throat/Head and Neck Surgery, Zuyderland Medical Center, Heerlen, the Netherlands
| | - Marcus L F Janssen
- School for Mental Health and Neuroscience, Maastricht University, Maastricht 6229 ER, the Netherlands; Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht University, Maastricht 6229 HX, the Netherlands
| | - Sonja A Kotz
- Faculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, Maastricht 6229 ER, the Netherlands
| | - Michael Schwartze
- Faculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, Maastricht 6229 ER, the Netherlands.
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3
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Yang Z, Inagaki M, Gerfen C, Fontolan L, Inagaki HK. The frontal cortex adjusts striatal integrator dynamics for flexible motor timing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.29.601348. [PMID: 39005437 PMCID: PMC11244898 DOI: 10.1101/2024.06.29.601348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Flexible control of motor timing is crucial for behavior. Before movement begins, the frontal cortex and striatum exhibit ramping spiking activity, with variable ramp slopes anticipating movement onsets. This activity may function as an adjustable 'timer,' triggering actions at the desired timing. However, because the frontal cortex and striatum share similar ramping dynamics and are both necessary for timing behaviors, distinguishing their individual roles in this timer function remains challenging. To address this, we conducted perturbation experiments combined with multi-regional electrophysiology in mice performing a lick-timing task. Following transient silencing of the frontal cortex, cortical and striatal activity swiftly returned to pre-silencing levels and resumed ramping, leading to a shift in lick timing close to the silencing duration. Conversely, briefly inhibiting the striatum caused a gradual decrease in ramping activity in both regions, with ramping resuming from post-inhibition levels, shifting lick timing beyond the inhibition duration. Thus, inhibiting the frontal cortex and striatum effectively paused and rewound the timer, respectively. Additionally, the frontal cortex, but not the striatum, encodes trial-history information guiding lick timing. These findings suggest specialized functional allocations within the forebrain: the striatum temporally integrates input from the frontal cortex to generate ramping activity that regulates motor timing.
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Weis PP, Kunde W. Primacy Effects in Extended Cognitive Strategy Choice: Initial Speed Benefits Outweigh Later Speed Benefits. HUMAN FACTORS 2024; 66:1860-1878. [PMID: 37610362 PMCID: PMC11089827 DOI: 10.1177/00187208231195747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 07/30/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND Human performers often recruit environment-based assistance to acquire or process information, such as relying on a smartphone app, a search engine, or a conversational agent. To make informed choices between several of such extended cognitive strategies, performers need to monitor the performance of these options. OBJECTIVE In the present study, we investigated whether participants monitor an extended cognitive strategy's performance-here, speed-more closely during initial as compared to later encounters. METHODS In three experiments, 737 participants were asked to first observe speed differences between two competing cognitive strategies-here, two competing algorithms that can obtain answers to trivia questions-and eventually choose between both strategies based on the observations. RESULTS Participants were sensitive to subtle speed differences and selected strategies accordingly. Most remarkably, even when participants performed identically with both strategies across all encounters, the strategy with superior speed in the initial encounters was preferred. Worded differently, participants exhibited a technology-use primacy effect. Contrarily, evidence for a recency effect was weak at best. CONCLUSION These results suggest that great care is required when performers are first acquainted with novel ways to acquire or process information. Superior initial performance has the potential to desensitize the performer for inferior later performance and thus prohibit optimal choice. APPLICATION Awareness of primacy enables users and designers of extended cognitive strategies to actively remediate suboptimal behavior originating in early monitoring episodes.
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Affiliation(s)
- Patrick P. Weis
- Department of Psychology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Wilfried Kunde
- Department of Psychology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
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5
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Hiramoto M, Cline HT. Visual neurons recognize complex image transformations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.10.598314. [PMID: 38915552 PMCID: PMC11195111 DOI: 10.1101/2024.06.10.598314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Natural visual scenes are dominated by sequences of transforming images. Spatial visual information is thought to be processed by detection of elemental stimulus features which are recomposed into scenes. How image information is integrated over time is unclear. We explored visual information encoding in the optic tectum. Unbiased stimulus presentation shows that the majority of tectal neurons recognize image sequences. This is achieved by temporally dynamic response properties, which encode complex image transitions over several hundred milliseconds. Calcium imaging reveals that neurons that encode spatiotemporal image sequences fire in spike sequences that predict a logical diagram of spatiotemporal information processing. Furthermore, the temporal scale of visual information is tuned by experience. This study indicates how neurons recognize dynamic visual scenes that transform over time.
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Affiliation(s)
- Masaki Hiramoto
- Department of Neuroscience, Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Hollis T Cline
- Department of Neuroscience, Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
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6
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Brown ST, Medina-Pizarro M, Holla M, Vaaga CE, Raman IM. Simple spike patterns and synaptic mechanisms encoding sensory and motor signals in Purkinje cells and the cerebellar nuclei. Neuron 2024; 112:1848-1861.e4. [PMID: 38492575 PMCID: PMC11156563 DOI: 10.1016/j.neuron.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 01/04/2024] [Accepted: 02/15/2024] [Indexed: 03/18/2024]
Abstract
Whisker stimulation in awake mice evokes transient suppression of simple spike probability in crus I/II Purkinje cells. Here, we investigated how simple spike suppression arises synaptically, what it encodes, and how it affects cerebellar output. In vitro, monosynaptic parallel fiber (PF)-excitatory postsynaptic currents (EPSCs) facilitated strongly, whereas disynaptic inhibitory postsynaptic currents (IPSCs) remained stable, maximizing relative inhibitory strength at the onset of PF activity. Short-term plasticity thus favors the inhibition of Purkinje spikes before PFs facilitate. In vivo, whisker stimulation evoked a 2-6 ms synchronous spike suppression, just 6-8 ms (∼4 synaptic delays) after sensory onset, whereas active whisker movements elicited broadly timed spike rate increases that did not modulate sensory-evoked suppression. Firing in the cerebellar nuclei (CbN) inversely correlated with disinhibition from sensory-evoked simple spike suppressions but was decoupled from slow, non-synchronous movement-associated elevations of Purkinje firing rates. Synchrony thus allows the CbN to high-pass filter Purkinje inputs, facilitating sensory-evoked cerebellar outputs that can drive movements.
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Affiliation(s)
- Spencer T Brown
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
| | - Mauricio Medina-Pizarro
- Department of Neurobiology, Northwestern University, Evanston, IL, USA; Northwestern University Interdepartmental Neuroscience Program, Northwestern University, Evanston, IL, USA
| | - Meghana Holla
- Department of Neurobiology, Northwestern University, Evanston, IL, USA; Northwestern University Interdepartmental Neuroscience Program, Northwestern University, Evanston, IL, USA
| | | | - Indira M Raman
- Department of Neurobiology, Northwestern University, Evanston, IL, USA; Northwestern University Interdepartmental Neuroscience Program, Northwestern University, Evanston, IL, USA.
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7
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Huang Y, Zhan L, Zhong S, Sun M, Wang C, Yang C, Wu X. Sustaining attention in visuomotor timing is associated with location-based binding. Vision Res 2024; 219:108405. [PMID: 38569222 DOI: 10.1016/j.visres.2024.108405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 03/08/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
Maintaining focus of attention over prolonged periods can be challenging, especially when the target stimulus is absent from the temporal sequence. Prior research has shown that a temporal attentional cue filling in the temporal blank can improve sustained attention: in a sustained visual attention task requiring synchronizing finger tapping with a temporally regular sequence composed of brief flash disks interleaved with blank periods, task performance was improved when a continuous fixation point that served as a temporal attentional cue was presented superimposed on the disk stimulus. To test the hypothesis that binding the temporal attentional cue with the target temporal sequence by spatial overlapping is crucial for enhancing sustained attention, the present study conducted a series of three experiments that deconstructed the bound connection between the cue and the sequence stimulus. In Experiment 1, the cue was placed above or below a flash disk. In Experiment 2, the cue was between two vertically arranged flash disks. In Experiment 3, the cue was in a flash ring. No significant effect of sustained attention improvement was found in any of the three experiments. Experiment 4 further replicated these null results and the previously observed effect of sustained attention improvement when the temporal cue was superimposed on the sequence stimulus. Our finding demonstrates that binding by spatial overlapping during the temporal blank when the sequence stimulus is absent is critical for enhancing sustained attention, which should be beneficial for improving performance across a broader range of tasks that require prolonged maintenance of attention.
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Affiliation(s)
- Yingyu Huang
- Department of Psychology, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Liying Zhan
- Department of Psychology, Sun Yat-Sen University, Guangzhou, Guangdong, China; School of Education, Zhaoqing University, Zhaoqing, Guangdong, China
| | - Shengqi Zhong
- Department of Psychology, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Mi Sun
- Department of Psychology, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Chaolun Wang
- Department of Psychology, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Chengbin Yang
- Department of Psychology, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xiang Wu
- Department of Psychology, Sun Yat-Sen University, Guangzhou, Guangdong, China.
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8
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Verwey WB. C-SMB 2.0: Integrating over 25 years of motor sequencing research with the Discrete Sequence Production task. Psychon Bull Rev 2024; 31:931-978. [PMID: 37848660 PMCID: PMC11192694 DOI: 10.3758/s13423-023-02377-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/30/2023] [Indexed: 10/19/2023]
Abstract
An exhaustive review is reported of over 25 years of research with the Discrete Sequence Production (DSP) task as reported in well over 100 articles. In line with the increasing call for theory development, this culminates into proposing the second version of the Cognitive framework of Sequential Motor Behavior (C-SMB 2.0), which brings together known models from cognitive psychology, cognitive neuroscience, and motor learning. This processing framework accounts for the many different behavioral results obtained with the DSP task and unveils important properties of the cognitive system. C-SMB 2.0 assumes that a versatile central processor (CP) develops multimodal, central-symbolic representations of short motor segments by repeatedly storing the elements of these segments in short-term memory (STM). Independently, the repeated processing by modality-specific perceptual and motor processors (PPs and MPs) and by the CP when executing sequences gradually associates successively used representations at each processing level. The high dependency of these representations on active context information allows for the rapid serial activation of the sequence elements as well as for the executive control of tasks as a whole. Speculations are eventually offered as to how the various cognitive processes could plausibly find their neural underpinnings within the intricate networks of the brain.
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Affiliation(s)
- Willem B Verwey
- Department of Learning, Data-Analytics and Technology, Section Cognition, Data and Education, Faculty of Behavioral, Management and Social sciences, University of Twente, PO Box 217, 7500 AE, Enschede, the Netherlands.
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9
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Liu B, Buonomano DV. Ex Vivo Cortical Circuits Learn to Predict and Spontaneously Replay Temporal Patterns. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.30.596702. [PMID: 38853859 PMCID: PMC11160783 DOI: 10.1101/2024.05.30.596702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
It has been proposed that prediction and timing are computational primitives of neocortical microcircuits, specifically, that neural mechanisms are in place to allow neocortical circuits to autonomously learn the temporal structure of external stimuli and generate internal predictions. To test this hypothesis, we trained cortical organotypic slices on two specific temporal patterns using dual-optical stimulation. After 24-hours of training, whole-cell recordings revealed network dynamics consistent with training-specific timed prediction. Unexpectedly, there was replay of the learned temporal structure during spontaneous activity. Furthermore, some neurons exhibited timed prediction errors. Mechanistically our results indicate that learning relied in part on asymmetric connectivity between distinct neuronal ensembles with temporally-ordered activation. These findings further suggest that local cortical microcircuits are intrinsically capable of learning temporal information and generating predictions, and that the learning rules underlying temporal learning and spontaneous replay can be intrinsic to local cortical microcircuits and not necessarily dependent on top-down interactions.
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10
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Kondo HM, Gheorghiu E, Pinheiro AP. Malleability and fluidity of time perception. Sci Rep 2024; 14:12244. [PMID: 38811624 PMCID: PMC11137112 DOI: 10.1038/s41598-024-62189-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024] Open
Affiliation(s)
- Hirohito M Kondo
- School of Psychology, Chukyo University, 101-2 Yagoto Honmachi, Showa, Nagoya, Aichi, 466-8666, Japan.
| | - Elena Gheorghiu
- Department of Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, UK
| | - Ana P Pinheiro
- Faculty of Psychology, University of Lisbon, Lisbon, Portugal
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11
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Bowler JC, Zakka G, Yong HC, Li W, Rao B, Liao Z, Priestley JB, Losonczy A. behaviorMate: An Intranet of Things Approach for Adaptable Control of Behavioral and Navigation-Based Experiments. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.04.569989. [PMID: 38116032 PMCID: PMC10729741 DOI: 10.1101/2023.12.04.569989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Investigators conducting behavioral experiments often need precise control over the timing of the delivery of stimuli to subjects and to collect the precise times of the subsequent behavioral responses. Furthermore, investigators want fine-tuned control over how various multi-modal cues are presented. behaviorMate takes an "Intranet of Things" approach, using a networked system of hardware and software components for achieving these goals. The system outputs a file with integrated timestamp-event pairs that investigators can then format and process using their own analysis pipelines. We present an overview of the electronic components and GUI application that make up behaviorMate as well as mechanical designs for compatible experimental rigs to provide the reader with the ability to set up their own system. A wide variety of paradigms are supported, including goal-oriented learning, random foraging, and context switching. We demonstrate behaviorMate's utility and reliability with a range of use cases from several published studies and benchmark tests. Finally, we present experimental validation demonstrating different modalities of hippocampal place field studies. Both treadmill with burlap belt and virtual reality with running wheel paradigms were performed to confirm the efficacy and flexibility of the approach. Previous solutions rely on proprietary systems that may have large upfront costs or present frameworks that require customized software to be developed. behaviorMate uses open-source software and a flexible configuration system to mitigate both concerns. behaviorMate has a proven record for head-fixed imaging experiments and could be easily adopted for task control in a variety of experimental situations.
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Affiliation(s)
- John C. Bowler
- Department of Neuroscience
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027 USA
- Department of Neurobiology University of Utah, Salt Lake City, UT 84112, USA
| | - George Zakka
- Department of Neuroscience
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027 USA
| | - Hyun Choong Yong
- Department of Neuroscience
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027 USA
| | - Wenke Li
- Aquabyte, San Francisco, CA 94111
| | - Bovey Rao
- Department of Neuroscience
- Doctoral Program in Neurobiology and Behavior
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027 USA
| | - Zhenrui Liao
- Department of Neuroscience
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027 USA
| | | | - Attila Losonczy
- Department of Neuroscience
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027 USA
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12
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Huntley MK, Nguyen A, Albrecht MA, Marinovic W. Tactile cues are more intrinsically linked to motor timing than visual cues in visual-tactile sensorimotor synchronization. Atten Percept Psychophys 2024; 86:1022-1037. [PMID: 38263510 PMCID: PMC11062975 DOI: 10.3758/s13414-023-02828-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2023] [Indexed: 01/25/2024]
Abstract
Many tasks require precise synchronization with external sensory stimuli, such as driving a car. This study investigates whether combined visual-tactile information provides additional benefits to movement synchrony over separate visual and tactile stimuli and explores the relationship with the temporal binding window for multisensory integration. In Experiment 1, participants completed a sensorimotor synchronization task to examine movement variability and a simultaneity judgment task to measure the temporal binding window. Results showed similar synchronization variability between visual-tactile and tactile-only stimuli, but significantly lower than visual only. In Experiment 2, participants completed a visual-tactile sensorimotor synchronization task with cross-modal stimuli presented inside (stimulus onset asynchrony 80 ms) and outside (stimulus-onset asynchrony 400 ms) the temporal binding window to examine temporal accuracy of movement execution. Participants synchronized their movement with the first stimulus in the cross-modal pair, either the visual or tactile stimulus. Results showed significantly greater temporal accuracy when only one stimulus was presented inside the window and the second stimulus was outside the window than when both stimuli were presented inside the window, with movement execution being more accurate when attending to the tactile stimulus. Overall, these findings indicate there may be a modality-specific benefit to sensorimotor synchronization performance, such that tactile cues are weighted more strongly than visual information as tactile information is more intrinsically linked to motor timing than visual information. Further, our findings indicate that the visual-tactile temporal binding window is related to the temporal accuracy of movement execution.
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Affiliation(s)
- Michelle K Huntley
- School of Population Health, Curtin University, Perth, Western Australia, Australia.
- School of Psychology and Public Health, La Trobe University, Wodonga, Victoria, Australia.
| | - An Nguyen
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Matthew A Albrecht
- Western Australia Centre for Road Safety Research, School of Psychological Science, University of Western Australia, Perth, Western Australia, Australia
| | - Welber Marinovic
- School of Population Health, Curtin University, Perth, Western Australia, Australia
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13
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Rasman BG, Blouin JS, Nasrabadi AM, van Woerkom R, Frens MA, Forbes PA. Learning to stand with sensorimotor delays generalizes across directions and from hand to leg effectors. Commun Biol 2024; 7:384. [PMID: 38553561 PMCID: PMC10980713 DOI: 10.1038/s42003-024-06029-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 03/08/2024] [Indexed: 04/02/2024] Open
Abstract
Humans receive sensory information from the past, requiring the brain to overcome delays to perform daily motor skills such as standing upright. Because delays vary throughout the body and change over a lifetime, it would be advantageous to generalize learned control policies of balancing with delays across contexts. However, not all forms of learning generalize. Here, we use a robotic simulator to impose delays into human balance. When delays are imposed in one direction of standing, participants are initially unstable but relearn to balance by reducing the variability of their motor actions and transfer balance improvements to untrained directions. Upon returning to normal standing, aftereffects from learning are observed as small oscillations in control, yet they do not destabilize balance. Remarkably, when participants train to balance with delays using their hand, learning transfers to standing with the legs. Our findings establish that humans use experience to broadly update their neural control to balance with delays.
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Affiliation(s)
- Brandon G Rasman
- Department of Neuroscience, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- School of Physical Education, Sport and Exercise Sciences, University of Otago, Dunedin, New Zealand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Jean-Sébastien Blouin
- School of Kinesiology, University of British Columbia, Vancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Institute for Computing, Information and Cognitive Systems, University of British Columbia, Vancouver, BC, Canada
| | - Amin M Nasrabadi
- School of Kinesiology, University of British Columbia, Vancouver, BC, Canada
| | - Remco van Woerkom
- Department of Neuroscience, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Maarten A Frens
- Department of Neuroscience, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Patrick A Forbes
- Department of Neuroscience, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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14
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Chang YJ, Chen YI, Yeh HC, Santacruz SR. Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics. Sci Rep 2024; 14:5145. [PMID: 38429297 PMCID: PMC10907713 DOI: 10.1038/s41598-024-54593-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 02/14/2024] [Indexed: 03/03/2024] Open
Abstract
Fundamental principles underlying computation in multi-scale brain networks illustrate how multiple brain areas and their coordinated activity give rise to complex cognitive functions. Whereas brain activity has been studied at the micro- to meso-scale to reveal the connections between the dynamical patterns and the behaviors, investigations of neural population dynamics are mainly limited to single-scale analysis. Our goal is to develop a cross-scale dynamical model for the collective activity of neuronal populations. Here we introduce a bio-inspired deep learning approach, termed NeuroBondGraph Network (NBGNet), to capture cross-scale dynamics that can infer and map the neural data from multiple scales. Our model not only exhibits more than an 11-fold improvement in reconstruction accuracy, but also predicts synchronous neural activity and preserves correlated low-dimensional latent dynamics. We also show that the NBGNet robustly predicts held-out data across a long time scale (2 weeks) without retraining. We further validate the effective connectivity defined from our model by demonstrating that neural connectivity during motor behaviour agrees with the established neuroanatomical hierarchy of motor control in the literature. The NBGNet approach opens the door to revealing a comprehensive understanding of brain computation, where network mechanisms of multi-scale activity are critical.
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Affiliation(s)
- Yin-Jui Chang
- Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Yuan-I Chen
- Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Hsin-Chih Yeh
- Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
- Texas Materials Institute, The University of Texas at Austin, Austin, TX, USA
| | - Samantha R Santacruz
- Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
- Institute for Neuroscience, The University of Texas at Austin, Austin, TX, USA.
- Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
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15
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White PA. The perceptual timescape: Perceptual history on the sub-second scale. Cogn Psychol 2024; 149:101643. [PMID: 38452720 DOI: 10.1016/j.cogpsych.2024.101643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/09/2024]
Abstract
There is a high-capacity store of brief time span (∼1000 ms) which information enters from perceptual processing, often called iconic memory or sensory memory. It is proposed that a main function of this store is to hold recent perceptual information in a temporally segregated representation, named the perceptual timescape. The perceptual timescape is a continually active representation of change and continuity over time that endows the perceived present with a perceived history. This is accomplished primarily by two kinds of time marking information: time distance information, which marks all items of information in the perceptual timescape according to how far in the past they occurred, and ordinal temporal information, which organises items of information in terms of their temporal order. Added to that is information about connectivity of perceptual objects over time. These kinds of information connect individual items over a brief span of time so as to represent change, persistence, and continuity over time. It is argued that there is a one-way street of information flow from perceptual processing either to the perceived present or directly into the perceptual timescape, and thence to working memory. Consistent with that, the information structure of the perceptual timescape supports postdictive reinterpretations of recent perceptual information. Temporal integration on a time scale of hundreds of milliseconds takes place in perceptual processing and does not draw on information in the perceptual timescape, which is concerned with temporal segregation, not integration.
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Affiliation(s)
- Peter A White
- School of Psychology, Cardiff University, Tower Building, Park Place, Cardiff, Wales CF10 3YG, United Kingdom.
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16
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Reinartz S, Fassihi A, Ravera M, Paz L, Pulecchi F, Gigante M, Diamond ME. Direct contribution of the sensory cortex to the judgment of stimulus duration. Nat Commun 2024; 15:1712. [PMID: 38402290 PMCID: PMC10894222 DOI: 10.1038/s41467-024-45970-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 02/06/2024] [Indexed: 02/26/2024] Open
Abstract
Decision making frequently depends on monitoring the duration of sensory events. To determine whether, and how, the perception of elapsed time derives from the neuronal representation of the stimulus itself, we recorded and optogenetically modulated vibrissal somatosensory cortical activity as male rats judged vibration duration. Perceived duration was dilated by optogenetic excitation. A second set of rats judged vibration intensity; here, optogenetic excitation amplified the intensity percept, demonstrating sensory cortex to be the common gateway both to time and to stimulus feature processing. A model beginning with the membrane currents evoked by vibrissal and optogenetic drive and culminating in the representation of perceived time successfully replicated rats' choices. Time perception is thus as deeply intermeshed within the sensory processing pathway as is the sense of touch itself, suggesting that the experience of time may be further investigated with the toolbox of sensory coding.
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Affiliation(s)
- Sebastian Reinartz
- SENSEx Lab, International School for Advanced Studies (SISSA), 34136, Trieste, Italy
- Brain & Sound Lab, Department of Biomedicine, Basel University, 4056, Basel, Switzerland
| | - Arash Fassihi
- SENSEx Lab, International School for Advanced Studies (SISSA), 34136, Trieste, Italy
- Department of Physics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Maria Ravera
- SENSEx Lab, International School for Advanced Studies (SISSA), 34136, Trieste, Italy
| | - Luciano Paz
- SENSEx Lab, International School for Advanced Studies (SISSA), 34136, Trieste, Italy
| | - Francesca Pulecchi
- SENSEx Lab, International School for Advanced Studies (SISSA), 34136, Trieste, Italy
| | - Marco Gigante
- SENSEx Lab, International School for Advanced Studies (SISSA), 34136, Trieste, Italy
| | - Mathew E Diamond
- SENSEx Lab, International School for Advanced Studies (SISSA), 34136, Trieste, Italy.
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17
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Grau JW, Hudson KE, Johnston DT, Partipilo SR. Updating perspectives on spinal cord function: motor coordination, timing, relational processing, and memory below the brain. Front Syst Neurosci 2024; 18:1184597. [PMID: 38444825 PMCID: PMC10912355 DOI: 10.3389/fnsys.2024.1184597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 01/29/2024] [Indexed: 03/07/2024] Open
Abstract
Those studying neural systems within the brain have historically assumed that lower-level processes in the spinal cord act in a mechanical manner, to relay afferent signals and execute motor commands. From this view, abstracting temporal and environmental relations is the province of the brain. Here we review work conducted over the last 50 years that challenges this perspective, demonstrating that mechanisms within the spinal cord can organize coordinated behavior (stepping), induce a lasting change in how pain (nociceptive) signals are processed, abstract stimulus-stimulus (Pavlovian) and response-outcome (instrumental) relations, and infer whether stimuli occur in a random or regular manner. The mechanisms that underlie these processes depend upon signal pathways (e.g., NMDA receptor mediated plasticity) analogous to those implicated in brain-dependent learning and memory. New data show that spinal cord injury (SCI) can enable plasticity within the spinal cord by reducing the inhibitory effect of GABA. It is suggested that the signals relayed to the brain may contain information about environmental relations and that spinal cord systems can coordinate action in response to descending signals from the brain. We further suggest that the study of stimulus processing, learning, memory, and cognitive-like processing in the spinal cord can inform our views of brain function, providing an attractive model system. Most importantly, the work has revealed new avenues of treatment for those that have suffered a SCI.
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Affiliation(s)
- James W. Grau
- Lab of Dr. James Grau, Department of Psychological and Brain Sciences, Cellular and Behavioral Neuroscience, Texas A&M University, College Station, TX, United States
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18
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Cao R, Bright IM, Howard MW. Ramping cells in rodent mPFC encode time to past and future events via real Laplace transform. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.13.580170. [PMID: 38405896 PMCID: PMC10888827 DOI: 10.1101/2024.02.13.580170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
In interval reproduction tasks, animals must remember the event starting the interval and anticipate the time of the planned response to terminate the interval. The interval reproduction task thus allows for studying both memory for the past and anticipation of the future. We analyzed previously published recordings from rodent mPFC (Henke et al., 2021) during an interval reproduction task and identified two cell groups by modeling their temporal receptive fields using hierarchical Bayesian models. The firing in the "past cells" group peaked at the start of the interval and relaxed exponentially back to baseline. The firing in the "future cells" group increased exponentially and peaked right before the planned action at the end of the interval. Contrary to the previous assumption that timing information in the brain has one or two time scales for a given interval, we found strong evidence for a continuous distribution of the exponential rate constants for both past and future cell populations. The real Laplace transformation of time predicts exponential firing with a continuous distribution of rate constants across the population. Therefore, the firing pattern of the past cells can be identified with the Laplace transform of time since the past event while the firing pattern of the future cells can be identified with the Laplace transform of time until the planned future event.
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Affiliation(s)
- Rui Cao
- Department of Psychological and Brain Sciences, Boston University
| | - Ian M Bright
- Department of Psychological and Brain Sciences, Boston University
| | - Marc W Howard
- Department of Psychological and Brain Sciences, Boston University
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Lane TJ, Liou TH, Kung YC, Tseng P, Wu CW. Functional blindsight and its diagnosis. Front Neurol 2024; 15:1207115. [PMID: 38385044 PMCID: PMC10879618 DOI: 10.3389/fneur.2024.1207115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
Even when brain scans fail to detect a striate lesion, functional evidence for blindsight can be adduced. In the aftermath of an automobile accident, JK became blind. Results of ophthalmic exams indicated that the blindness must be cortical. Nevertheless, multiple MRI scans failed to detect structural damage to the striate cortex. Prior to the accident JK had been an athlete; after the accident he retained some athletic abilities, arousing suspicions that he might be engaged in fraud. His residual athletic abilities-e.g., hitting a handball or baseball, or catching a Frisbee-coupled with his experienced blindness, suggested blindsight. But due to the apparent absence of striate lesions, we designed a series of tasks for temporal and spatial dimensions in an attempt to detect functional evidence of his disability. Indeed, test results revealed compelling neural evidence that comport with his subjective reports. This spatiotemporal task-related method that includes contrasts with healthy controls, and detailed understanding of the patient's conscious experience, can be generalized for clinical, scientific and forensic investigations of blindsight.
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Affiliation(s)
- Timothy Joseph Lane
- Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei City, Taiwan
- Brain and Consciousness Research Centre, Taipei Medical University, Taipei City, Taiwan
- Institute of European and American Studies, Academia Sinica, Taipei City, Taiwan
| | - Tsan-Hon Liou
- Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei City, Taiwan
- Department of Physical Medicine and Rehabilitation, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
- Department of Physical Medicine and Rehabilitation, TMU Shuang Ho Hospital, New Taipei City, Taiwan
| | - Yi-Chia Kung
- Department of Radiology, National Defense Medical Center, Tri-Service General Hospital, Taipei City, Taiwan
- Taiwan Institute of Neuroscience, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Philip Tseng
- Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei City, Taiwan
- Brain and Consciousness Research Centre, Taipei Medical University, Taipei City, Taiwan
- Department of Psychology, National Taiwan University, Taipei City, Taiwan
- Research Center for Mind, Brain and Learning, National Chengchi University, Taipei City, Taiwan
| | - Changwei W. Wu
- Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei City, Taiwan
- Brain and Consciousness Research Centre, Taipei Medical University, Taipei City, Taiwan
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Tokushige SI, Matsuda S, Tada M, Yabe I, Takeda A, Tanaka H, Hatakenaka M, Enomoto H, Kobayashi S, Shimizu K, Shimizu T, Kotsuki N, Inomata-Terada S, Furubayashi T, Ichikawa Y, Hanajima R, Tsuji S, Ugawa Y, Terao Y. Roles of the cerebellum and basal ganglia in temporal integration: Insights from a synchronized tapping task. Clin Neurophysiol 2024; 158:1-15. [PMID: 38113692 DOI: 10.1016/j.clinph.2023.11.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 10/07/2023] [Accepted: 11/25/2023] [Indexed: 12/21/2023]
Abstract
OBJECTIVE The aim of this study was to clarify the roles of the cerebellum and basal ganglia for temporal integration. METHODS We studied 39 patients with spinocerebellar degeneration (SCD), comprising spinocerebellar atrophy 6 (SCA6), SCA31, Machado-Joseph disease (MJD, also called SCA3), and multiple system atrophy (MSA). Thirteen normal subjects participated as controls. Participants were instructed to tap on a button in synchrony with isochronous tones. We analyzed the inter-tap interval (ITI), synchronizing tapping error (STE), negative asynchrony, and proportion of delayed tapping as indicators of tapping performance. RESULTS The ITI coefficient of variation was increased only in MSA patients. The standard variation of STE was larger in SCD patients than in normal subjects, especially for MSA. Negative asynchrony, which is a tendency to tap the button before the tones, was prominent in SCA6 and MSA patients, with possible basal ganglia involvement. SCA31 patients exhibited normal to supranormal performance in terms of the variability of STE, which was surprising. CONCLUSIONS Cerebellar patients generally showed greater STE variability, except for SCA31. The pace of tapping was affected in patients with possible basal ganglia pathology. SIGNIFICANCE Our results suggest that interaction between the cerebellum and the basal ganglia is essential for temporal processing. The cerebellum and basal ganglia and their interaction regulate synchronized tapping, resulting in distinct tapping pattern abnormalities among different SCD subtypes.
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Affiliation(s)
- Shin-Ichi Tokushige
- Department of Neurology, Graduate School of Medicine, the University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; Department of Neurology, Faculty of Medicine, Kyorin University, 6-20-2 Shinkawa, Mitaka-shi, Tokyo 181-8611, Japan
| | - Shunichi Matsuda
- Department of Neurology, Graduate School of Medicine, the University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Masayoshi Tada
- Department of Neurology, Brain Research Institute, Niigata University, 1-757 Asahimachidori, Chuo-ku, Niigata 951-8585, Japan
| | - Ichiro Yabe
- Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita 15, Nishi 7, Kita-ku, Sapporo 060-8638, Japan
| | - Atsushi Takeda
- Department of Neurology, Sendai Nishitaga Hospital, 2-11-11, Kagitori-honcho, Taihaku-ku, Sendai 982-8555, Japan
| | - Hiroyasu Tanaka
- Department of Neurology, Sendai Nishitaga Hospital, 2-11-11, Kagitori-honcho, Taihaku-ku, Sendai 982-8555, Japan
| | - Megumi Hatakenaka
- Department of Neurology, Morinomiya Hospital, 2-1-88, Morinomiya, Joto-ku, Osaka 536-0025, Japan
| | - Hiroyuki Enomoto
- Department of Neurology, Faculty of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan
| | - Shunsuke Kobayashi
- Department of Neurology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-Ku, Tokyo 173-8606, Japan
| | - Kazutaka Shimizu
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, 36-1, Nishicho, Yonago, Tottori 683-8504, Japan
| | - Takahiro Shimizu
- Department of Neurology, Kitasato University School of Medicine, 1-15-1, Kitazato, Minami, Sagamihara, Kanagawa 252-0375, Japan
| | - Naoki Kotsuki
- Department of Neurology, Faculty of Medicine, Kyorin University, 6-20-2 Shinkawa, Mitaka-shi, Tokyo 181-8611, Japan
| | - Satomi Inomata-Terada
- Department of Medical Physiology, School of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka, Tokyo 181-8611, Japan
| | - Toshiaki Furubayashi
- Graduate School of Health and Environment Science, Tohoku Bunka Gakuen University, 6-45-1 Kunimi, Sendai, Miyagi 981-8551, Japan
| | - Yaeko Ichikawa
- Department of Neurology, Faculty of Medicine, Kyorin University, 6-20-2 Shinkawa, Mitaka-shi, Tokyo 181-8611, Japan
| | - Ritsuko Hanajima
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, 36-1, Nishicho, Yonago, Tottori 683-8504, Japan
| | - Shoji Tsuji
- Department of Molecular Neurology, the University of Tokyo and International University of Health and Welfare, 4-3, Kozunomori, Narita-shi, Chiba-ken 286-8686, Japan
| | - Yoshikazu Ugawa
- Department of Human Neurophysiology, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan
| | - Yasuo Terao
- Department of Neurology, Graduate School of Medicine, the University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; Department of Medical Physiology, School of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka, Tokyo 181-8611, Japan.
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21
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Davidson A, Souza P. Relationships Between Auditory Processing and Cognitive Abilities in Adults: A Systematic Review. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024; 67:296-345. [PMID: 38147487 DOI: 10.1044/2023_jslhr-22-00716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
PURPOSE The contributions from the central auditory and cognitive systems play a major role in communication. Understanding the relationship between auditory and cognitive abilities has implications for auditory rehabilitation for clinical patients. The purpose of this systematic review is to address the question, "In adults, what is the relationship between central auditory processing abilities and cognitive abilities?" METHOD Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed to identify, screen, and determine eligibility for articles that addressed the research question of interest. Medical librarians and subject matter experts assisted in search strategy, keyword review, and structuring the systematic review process. To be included, articles needed to have an auditory measure (either behavioral or electrophysiologic), a cognitive measure that assessed individual ability, and the measures needed to be compared to one another. RESULTS Following two rounds of identification and screening, 126 articles were included for full analysis. Central auditory processing (CAP) measures were grouped into categories (behavioral: speech in noise, altered speech, temporal processing, binaural processing; electrophysiologic: mismatch negativity, P50, N200, P200, and P300). The most common CAP measures were sentence recognition in speech-shaped noise and the P300. Cognitive abilities were grouped into constructs, and the most common construct was working memory. The findings were mixed, encompassing both significant and nonsignificant relationships; therefore, the results do not conclusively establish a direct link between CAP and cognitive abilities. Nonetheless, several consistent relationships emerged across different domains. Distorted or noisy speech was related to working memory or processing speed. Auditory temporal order tasks showed significant relationships with working memory, fluid intelligence, or multidomain cognitive measures. For electrophysiology, relationships were observed between some cortical evoked potentials and working memory or executive/inhibitory processes. Significant results were consistent with the hypothesis that assessments of CAP and cognitive processing would be positively correlated. CONCLUSIONS Results from this systematic review summarize relationships between CAP and cognitive processing, but also underscore the complexity of these constructs, the importance of study design, and the need to select an appropriate measure. The relationship between auditory and cognitive abilities is complex but can provide informative context when creating clinical management plans. This review supports a need to develop guidelines and training for audiologists who wish to consider individual central auditory and cognitive abilities in patient care. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.24855174.
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22
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Ten Oever S, Martin AE. Interdependence of "What" and "When" in the Brain. J Cogn Neurosci 2024; 36:167-186. [PMID: 37847823 DOI: 10.1162/jocn_a_02067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
From a brain's-eye-view, when a stimulus occurs and what it is are interrelated aspects of interpreting the perceptual world. Yet in practice, the putative perceptual inferences about sensory content and timing are often dichotomized and not investigated as an integrated process. We here argue that neural temporal dynamics can influence what is perceived, and in turn, stimulus content can influence the time at which perception is achieved. This computational principle results from the highly interdependent relationship of what and when in the environment. Both brain processes and perceptual events display strong temporal variability that is not always modeled; we argue that understanding-and, minimally, modeling-this temporal variability is key for theories of how the brain generates unified and consistent neural representations and that we ignore temporal variability in our analysis practice at the peril of both data interpretation and theory-building. Here, we review what and when interactions in the brain, demonstrate via simulations how temporal variability can result in misguided interpretations and conclusions, and outline how to integrate and synthesize what and when in theories and models of brain computation.
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Affiliation(s)
- Sanne Ten Oever
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands
- Maastricht University, The Netherlands
| | - Andrea E Martin
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands
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23
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Soldado-Magraner S, Buonomano DV. Neural Sequences and the Encoding of Time. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1455:81-93. [PMID: 38918347 DOI: 10.1007/978-3-031-60183-5_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Converging experimental and computational evidence indicate that on the scale of seconds the brain encodes time through changing patterns of neural activity. Experimentally, two general forms of neural dynamic regimes that can encode time have been observed: neural population clocks and ramping activity. Neural population clocks provide a high-dimensional code to generate complex spatiotemporal output patterns, in which each neuron exhibits a nonlinear temporal profile. A prototypical example of neural population clocks are neural sequences, which have been observed across species, brain areas, and behavioral paradigms. Additionally, neural sequences emerge in artificial neural networks trained to solve time-dependent tasks. Here, we examine the role of neural sequences in the encoding of time, and how they may emerge in a biologically plausible manner. We conclude that neural sequences may represent a canonical computational regime to perform temporal computations.
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Affiliation(s)
| | - Dean V Buonomano
- Department of Neurobiology, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
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24
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Grondin S. The Processing of Short Time Intervals: Some Critical Issues. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1455:35-50. [PMID: 38918345 DOI: 10.1007/978-3-031-60183-5_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Humans have the capability to make judgments about the relative duration of time intervals with accuracy (correct perceived duration) and precision (low variability). However, this capability has limitations, some of which are discussed in the present chapter. These limitations, either in terms of accuracy or precision, are obvious when there are changes in the physical characteristics of the stimuli used to mark the intervals to be judged. The characteristics are the structure (filled vs. empty) of the intervals and the sensory origin of the stimuli used to mark them. The variability of time estimates also depends on the use of single intervals by opposition to the use of sequences of intervals, and on the duration range under investigation. In addition to the effect caused by the physical characteristics of the stimuli, the perceived duration also relies on the way of presenting successive stimuli and on whether the intervals are marked by a single source or by different sources with distance (spatial effect) between them.
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Affiliation(s)
- Simon Grondin
- École de psychologie, Université Laval, Québec, QC, Canada.
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25
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Salgado-Ménez M, Espinoza-Monroy M, Malagón AM, Mercado K, Lafuente VD. Estimating Time and Rhythm by Predicting External Stimuli. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1455:159-169. [PMID: 38918351 DOI: 10.1007/978-3-031-60183-5_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
In this chapter, we present recent findings from our group showing that elapsed time, interval timing, and rhythm maintenance might be achieved by the well-known ability of the brain to predict the future states of the world. The difference between predictions and actual sensory evidence is used to generate perceptual and behavioral adjustments that help subjects achieve desired behavioral goals. Concretely, we show that (1) accumulating prediction errors is a plausible strategy humans could use to determine whether a train of consecutive stimuli arrives at regular or irregular intervals. By analyzing the behavior of human and non-human primate subjects performing rhythm perception tasks, we demonstrate that (2) the ability to estimate elapsed time and internally maintain rhythms is shared across primates and humans. Neurophysiological recordings show that (3) the medial premotor cortex engages in rhythm entrainment and maintains oscillatory activity that reveals an internal metronome's spatial and temporal characteristics. Finally, we demonstrate that (4) the amplitude of gamma oscillations within this cortex increases proportionally to the total elapsed time. In conjunction with our most recent experiments, our results suggest that timing might be achieved by an internal simulation of the sensory stimuli and the motor commands that define the timing task that needs to be performed.
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Affiliation(s)
- Mildred Salgado-Ménez
- Institute of Neurobiology, National Autonomous University of Mexico, Querétaro, México
| | | | - Ana M Malagón
- Institute of Neurobiology, National Autonomous University of Mexico, Querétaro, México
| | - Karla Mercado
- Institute of Neurobiology, National Autonomous University of Mexico, Querétaro, México
| | - Victor de Lafuente
- Institute of Neurobiology, National Autonomous University of Mexico, Querétaro, México.
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26
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Tanaka M, Kameda M, Okada KI. Temporal Information Processing in the Cerebellum and Basal Ganglia. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1455:95-116. [PMID: 38918348 DOI: 10.1007/978-3-031-60183-5_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Temporal information processing in the range of a few hundred milliseconds to seconds involves the cerebellum and basal ganglia. In this chapter, we present recent studies on nonhuman primates. In the studies presented in the first half of the chapter, monkeys were trained to make eye movements when a certain amount of time had elapsed since the onset of the visual cue (time production task). The animals had to report time lapses ranging from several hundred milliseconds to a few seconds based on the color of the fixation point. In this task, the saccade latency varied with the time length to be measured and showed stochastic variability from one trial to the other. Trial-to-trial variability under the same conditions correlated well with pupil diameter and the preparatory activity in the deep cerebellar nuclei and the motor thalamus. Inactivation of these brain regions delayed saccades when asked to report subsecond intervals. These results suggest that the internal state, which changes with each trial, may cause fluctuations in cerebellar neuronal activity, thereby producing variations in self-timing. When measuring different time intervals, the preparatory activity in the cerebellum always begins approximately 500 ms before movements, regardless of the length of the time interval being measured. However, the preparatory activity in the striatum persists throughout the mandatory delay period, which can be up to 2 s, with different rate of increasing activity. Furthermore, in the striatum, the visual response and low-frequency oscillatory activity immediately before time measurement were altered by the length of the intended time interval. These results indicate that the state of the network, including the striatum, changes with the intended timing, which lead to different time courses of preparatory activity. Thus, the basal ganglia appear to be responsible for measuring time in the range of several hundred milliseconds to seconds, whereas the cerebellum is responsible for regulating self-timing variability in the subsecond range. The second half of this chapter presents studies related to periodic timing. During eye movements synchronized with alternating targets at regular intervals, different neurons in the cerebellar nuclei exhibit activity related to movement timing, predicted stimulus timing, and the temporal error of synchronization. Among these, the activity associated with target appearance is particularly enhanced during synchronized movements and may represent an internal model of the temporal structure of stimulus sequence. We also considered neural mechanism underlying the perception of periodic timing in the absence of movement. During perception of rhythm, we predict the timing of the next stimulus and focus our attention on that moment. In the missing oddball paradigm, the subjects had to detect the omission of a regularly repeated stimulus. When employed in humans, the results show that the fastest temporal limit for predicting each stimulus timing is about 0.25 s (4 Hz). In monkeys performing this task, neurons in the cerebellar nuclei, striatum, and motor thalamus exhibit periodic activity, with different time courses depending on the brain region. Since electrical stimulation or inactivation of recording sites changes the reaction time to stimulus omission, these neuronal activities must be involved in periodic temporal processing. Future research is needed to elucidate the mechanism of rhythm perception, which appears to be processed by both cortico-cerebellar and cortico-basal ganglia pathways.
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Affiliation(s)
- Masaki Tanaka
- Department of Physiology, Hokkaido University School of Medicine, Sapporo, Japan.
| | - Masashi Kameda
- Department of Physiology, Hokkaido University School of Medicine, Sapporo, Japan
| | - Ken-Ichi Okada
- Department of Physiology, Hokkaido University School of Medicine, Sapporo, Japan
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Mannarelli D, Pauletti C, Missori P, Trompetto C, Cotellessa F, Fattapposta F, Currà A. Cerebellum's Contribution to Attention, Executive Functions and Timing: Psychophysiological Evidence from Event-Related Potentials. Brain Sci 2023; 13:1683. [PMID: 38137131 PMCID: PMC10741792 DOI: 10.3390/brainsci13121683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/01/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
Since 1998, when Schmahmann first proposed the concept of the "cognitive affective syndrome" that linked cerebellar damage to cognitive and emotional impairments, a substantial body of literature has emerged. Anatomical, neurophysiological, and functional neuroimaging data suggest that the cerebellum contributes to cognitive functions through specific cerebral-cerebellar connections organized in a series of parallel loops. The aim of this paper is to review the current findings on the involvement of the cerebellum in selective cognitive functions, using a psychophysiological perspective with event-related potentials (ERPs), alone or in combination with non-invasive brain stimulation techniques. ERPs represent a very informative method of monitoring cognitive functioning online and have the potential to serve as valuable biomarkers of brain dysfunction that is undetected by other traditional clinical tools. This review will focus on the data on attention, executive functions, and time processing obtained in healthy subjects and patients with varying clinical conditions, thus confirming the role of ERPs in understanding the role of the cerebellum in cognition and exploring the potential diagnostic and therapeutic implications of ERP-based assessments in patients.
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Affiliation(s)
- Daniela Mannarelli
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell’Università 30, 00185 Rome, Italy; (D.M.); (C.P.); (P.M.); (F.F.)
| | - Caterina Pauletti
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell’Università 30, 00185 Rome, Italy; (D.M.); (C.P.); (P.M.); (F.F.)
| | - Paolo Missori
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell’Università 30, 00185 Rome, Italy; (D.M.); (C.P.); (P.M.); (F.F.)
| | - Carlo Trompetto
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132 Genoa, Italy; (C.T.); (F.C.)
- IRCCS Ospedale Policlinico San Martino, Division of Neurorehabilitation, Department of Neuroscience, 16132 Genoa, Italy
| | - Filippo Cotellessa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132 Genoa, Italy; (C.T.); (F.C.)
| | - Francesco Fattapposta
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell’Università 30, 00185 Rome, Italy; (D.M.); (C.P.); (P.M.); (F.F.)
| | - Antonio Currà
- Academic Neurology Unit, Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04019 Terracina, Italy
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28
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Stanczyk M, Szelag E, Krystecka K, Szymaszek A. A common timing mechanism across different millisecond domains: evidence from perceptual and motor tasks. Sci Rep 2023; 13:21052. [PMID: 38030683 PMCID: PMC10687244 DOI: 10.1038/s41598-023-48238-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 11/23/2023] [Indexed: 12/01/2023] Open
Abstract
Temporal information processing (TIP) constitutes a complex construct that underlies many cognitive functions and operates in a few hierarchically ordered time domains. This study aimed to verify the relationship between the tens of milliseconds and hundreds of milliseconds domains, referring to perceptual and motor timing, respectively. Sixty four young healthy individuals participated in this study. They underwent two auditory temporal order judgement tasks to assess their performance in the tens of milliseconds domain; on this basis, groups of high-level performers (HLP) and low-level performers (LLP) were identified. Then, a maximum tapping task was used to evaluate performance in the hundreds of milliseconds domain. The most remarkable result was that HLP achieved a faster tapping rate and synchronised quicker with their "internal clock" during the tapping task than did LLP. This result shows that there is a relationship between accuracy in judging temporally asynchronous stimuli and ability to achieve and maintain the pace of a movement adequate to one's internal pacemaker. This could indicate the strong contribution of a common timing mechanism, responsible for temporal organisation and coordination of behaviours across different millisecond domains.
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Affiliation(s)
- Magdalena Stanczyk
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Elzbieta Szelag
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Klaudia Krystecka
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Aneta Szymaszek
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
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29
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Masset P, Tano P, Kim HR, Malik AN, Pouget A, Uchida N. Multi-timescale reinforcement learning in the brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.12.566754. [PMID: 38014166 PMCID: PMC10680596 DOI: 10.1101/2023.11.12.566754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
To thrive in complex environments, animals and artificial agents must learn to act adaptively to maximize fitness and rewards. Such adaptive behavior can be learned through reinforcement learning1, a class of algorithms that has been successful at training artificial agents2-6 and at characterizing the firing of dopamine neurons in the midbrain7-9. In classical reinforcement learning, agents discount future rewards exponentially according to a single time scale, controlled by the discount factor. Here, we explore the presence of multiple timescales in biological reinforcement learning. We first show that reinforcement agents learning at a multitude of timescales possess distinct computational benefits. Next, we report that dopamine neurons in mice performing two behavioral tasks encode reward prediction error with a diversity of discount time constants. Our model explains the heterogeneity of temporal discounting in both cue-evoked transient responses and slower timescale fluctuations known as dopamine ramps. Crucially, the measured discount factor of individual neurons is correlated across the two tasks suggesting that it is a cell-specific property. Together, our results provide a new paradigm to understand functional heterogeneity in dopamine neurons, a mechanistic basis for the empirical observation that humans and animals use non-exponential discounts in many situations10-14, and open new avenues for the design of more efficient reinforcement learning algorithms.
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Affiliation(s)
- Paul Masset
- Department of Molecular and Cellular Biology, Harvard University, USA
- Center for Brain Science, Harvard University, USA
| | - Pablo Tano
- Department of Basic Neuroscience, University of Geneva, Switzerland
| | - HyungGoo R. Kim
- Department of Molecular and Cellular Biology, Harvard University, USA
- Center for Brain Science, Harvard University, USA
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
| | - Athar N. Malik
- Department of Molecular and Cellular Biology, Harvard University, USA
- Center for Brain Science, Harvard University, USA
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, USA
| | - Alexandre Pouget
- Department of Basic Neuroscience, University of Geneva, Switzerland
| | - Naoshige Uchida
- Department of Molecular and Cellular Biology, Harvard University, USA
- Center for Brain Science, Harvard University, USA
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30
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Tagliaferri M, Giampiccolo D, Parmigiani S, Avesani P, Cattaneo L. Connectivity by the Frontal Aslant Tract (FAT) Explains Local Functional Specialization of the Superior and Inferior Frontal Gyri in Humans When Choosing Predictive over Reactive Strategies: A Tractography-Guided TMS Study. J Neurosci 2023; 43:6920-6929. [PMID: 37657931 PMCID: PMC10573747 DOI: 10.1523/jneurosci.0406-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 08/04/2023] [Accepted: 08/08/2023] [Indexed: 09/03/2023] Open
Abstract
Predictive and reactive behaviors represent two mutually exclusive strategies in a sensorimotor task. Predictive behavior consists in internally estimating timing and features of a target stimulus and relies on a cortical medial frontal system [superior frontal gyrus (SFG)]. Reactive behavior consists in waiting for actual perception of the target stimulus and relies on the lateral frontal cortex [inferior frontal gyrus (IFG)]. We investigated whether SFG-IFG connections by the frontal aslant tract (FAT) can mediate predictive/reactive interactions. In 19 healthy human volunteers, we applied online transcranial magnetic stimulation (TMS) to six spots along the medial and lateral terminations of the FAT, during the set period of a delayed reaction task. Such scenario can be solved using either predictive or reactive strategies. TMS increased the propensity toward reactive behavior if applied to a specific portion of the IFG and increased predictive behavior when applied to a specific SFG spot. The two active spots in the SFG and IFG were directly connected by a sub-bundle of FAT fibers as indicated by diffusion-weighted imaging (DWI) tractography. Since FAT connectivity identifies two distant cortical nodes with opposite functions, we propose that the FAT mediates mutually inhibitory interactions between SFG and IFG to implement a "winner takes all" decisional process. We hypothesize such role of the FAT to be domain-general, whenever competition occurs between internal predictive and external reactive behaviors. Finally, we also show that anatomic connectivity is a powerful factor to explain and predict the spatial distribution of brain stimulation effects.SIGNIFICANCE STATEMENT We interact with sensory cues adopting two main mutually-exclusive strategies: (1) trying to anticipate the occurrence of the cue or (2) waiting for the GO-signal to be manifest and react to it. Here, we showed, by using noninvasive brain stimulation [transcranial magnetic stimulation (TMS)], that two specific cortical regions in the superior frontal gyrus (SFG) and the inferior frontal gyrus (IFG) have opposite roles in facilitating a predictive or a reactive strategy. Importantly these two very distant regions but with highly interconnected functions are specifically connected by a small white matter bundle, which mediates the direct competition and exclusiveness between predictive and reactive strategies. More generally, implementing anatomic connectivity in TMS studies strongly reduces spatial noise.
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Affiliation(s)
- Marco Tagliaferri
- Centro Interdipartimentale Mente e Cervello (CIMeC), University of Trento, Rovereto 38068, Italy
| | - Davide Giampiccolo
- Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona 37124, Italy
| | - Sara Parmigiani
- Dipartimento di Scienze Biomediche e Cliniche "L. Sacco," Università degli Studi di Milano, Milano 20157, Italy
| | - Paolo Avesani
- Centro Interdipartimentale Mente e Cervello (CIMeC), University of Trento, Rovereto 38068, Italy
- Center for Digital Health & Well Being, Neuroinformatics Laboratory, Fondazione Bruno Kessler, Trento 38123, Italy
| | - Luigi Cattaneo
- Centro Interdipartimentale Mente e Cervello (CIMeC), University of Trento, Rovereto 38068, Italy
- Centro Interdipartimentale di Scienze Mediche (CISMed), University of Trento, Trento 38122, Italy
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31
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Pollok B, Depperschmidt C, Koester M, Schmidt-Wilcke T, Krause V. Cathodal high-definition transcranial direct current stimulation (HD-tDCS) of the left ventral prefrontal cortex (vPFC) interferes with conscious error correction. Behav Brain Res 2023; 454:114661. [PMID: 37696453 DOI: 10.1016/j.bbr.2023.114661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 09/08/2023] [Accepted: 09/08/2023] [Indexed: 09/13/2023]
Abstract
Precise motor timing requires the ability to flexibly adapt one's own movements with respect to changes in the environment. Previous studies suggest that the correction of perceived as compared to non-perceived timing errors involves at least partially distinct brain networks. The dorsolateral prefrontal cortex (dPFC) has been linked to the correction of perceived timing errors and evidence for a contribution of the ventrolateral PFC (vPFC) specifically to the correction of non-perceived errors exists. The present study aimed at clarifying the functional contribution of the left vPFC for the correction of timing errors by adopting high-definition transcranial direct current stimulation (HD-tDCS). Twenty-one young healthy volunteers synchronized their right index finger taps with respect to an isochronous auditory pacing signal. Perceivable and non-perceivable step-changes of the metronome were interspersed, and error correction was analyzed by means of the phase-correction response (PCR). In subsequent sessions anodal and cathodal HD-tDCS was applied to the left vPFC to establish a brain-behavior relationship. Sham stimulation served as control condition. Synchronization accuracy as well as error correction were determined immediately prior to and after HD-tDCS. The analysis suggests a detrimental effect of cathodal HD-tDCS distinctively on error correction in trials with perceived timing errors. The data support the significance of the left vPFC for error correction in the temporal domain but contradicts the view of a role in the correction of non-perceived errors.
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Affiliation(s)
- Bettina Pollok
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University Duesseldorf, 40225 Duesseldorf, Germany.
| | - Carina Depperschmidt
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Maximilian Koester
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Tobias Schmidt-Wilcke
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University Duesseldorf, 40225 Duesseldorf, Germany; Center of Neurology, District Hospital Mainkofen, 94469 Deggendorf, Germany
| | - Vanessa Krause
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University Duesseldorf, 40225 Duesseldorf, Germany; Department of Neuropsychology, Mauritius Hospital and Neurorehabilitation Center Meerbusch, 40670 Meerbusch, Germany
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32
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Stephen EP, Li Y, Metzger S, Oganian Y, Chang EF. Latent neural dynamics encode temporal context in speech. Hear Res 2023; 437:108838. [PMID: 37441880 PMCID: PMC11182421 DOI: 10.1016/j.heares.2023.108838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 06/15/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023]
Abstract
Direct neural recordings from human auditory cortex have demonstrated encoding for acoustic-phonetic features of consonants and vowels. Neural responses also encode distinct acoustic amplitude cues related to timing, such as those that occur at the onset of a sentence after a silent period or the onset of the vowel in each syllable. Here, we used a group reduced rank regression model to show that distributed cortical responses support a low-dimensional latent state representation of temporal context in speech. The timing cues each capture more unique variance than all other phonetic features and exhibit rotational or cyclical dynamics in latent space from activity that is widespread over the superior temporal gyrus. We propose that these spatially distributed timing signals could serve to provide temporal context for, and possibly bind across time, the concurrent processing of individual phonetic features, to compose higher-order phonological (e.g. word-level) representations.
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Affiliation(s)
- Emily P Stephen
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, United States; Department of Mathematics and Statistics, Boston University, Boston, MA 02215, United States
| | - Yuanning Li
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, United States; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Sean Metzger
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, United States
| | - Yulia Oganian
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, United States; Center for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
| | - Edward F Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, United States.
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33
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Majumder S, Hirokawa K, Yang Z, Paletzki R, Gerfen CR, Fontolan L, Romani S, Jain A, Yasuda R, Inagaki HK. Cell-type-specific plasticity shapes neocortical dynamics for motor learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.09.552699. [PMID: 37609277 PMCID: PMC10441538 DOI: 10.1101/2023.08.09.552699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Neocortical spiking dynamics control aspects of behavior, yet how these dynamics emerge during motor learning remains elusive. Activity-dependent synaptic plasticity is likely a key mechanism, as it reconfigures network architectures that govern neural dynamics. Here, we examined how the mouse premotor cortex acquires its well-characterized neural dynamics that control movement timing, specifically lick timing. To probe the role of synaptic plasticity, we have genetically manipulated proteins essential for major forms of synaptic plasticity, Ca2+/calmodulin-dependent protein kinase II (CaMKII) and Cofilin, in a region and cell-type-specific manner. Transient inactivation of CaMKII in the premotor cortex blocked learning of new lick timing without affecting the execution of learned action or ongoing spiking activity. Furthermore, among the major glutamatergic neurons in the premotor cortex, CaMKII and Cofilin activity in pyramidal tract (PT) neurons, but not intratelencephalic (IT) neurons, is necessary for learning. High-density electrophysiology in the premotor cortex uncovered that neural dynamics anticipating licks are progressively shaped during learning, which explains the change in lick timing. Such reconfiguration in behaviorally relevant dynamics is impeded by CaMKII manipulation in PT neurons. Altogether, the activity of plasticity-related proteins in PT neurons plays a central role in sculpting neocortical dynamics to learn new behavior.
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Affiliation(s)
- Shouvik Majumder
- Max Planck Florida Institute for Neuroscience, Jupiter, FL 33458, USA
| | - Koichi Hirokawa
- Max Planck Florida Institute for Neuroscience, Jupiter, FL 33458, USA
| | - Zidan Yang
- Max Planck Florida Institute for Neuroscience, Jupiter, FL 33458, USA
| | - Ronald Paletzki
- National Institute of Mental Health, Bethesda, MD 20814, USA
| | | | - Lorenzo Fontolan
- Turing Centre for Living Systems, Aix- Marseille University, INSERM, INMED U1249, Marseille, France
- Janelia Research Campus, HHMI, Ashburn VA 20147, USA
| | - Sandro Romani
- Janelia Research Campus, HHMI, Ashburn VA 20147, USA
| | - Anant Jain
- Max Planck Florida Institute for Neuroscience, Jupiter, FL 33458, USA
| | - Ryohei Yasuda
- Max Planck Florida Institute for Neuroscience, Jupiter, FL 33458, USA
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34
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Post S, Mol W, Abu-Wishah O, Ali S, Rahmatullah N, Goel A. Multimodal Temporal Pattern Discrimination Is Encoded in Visual Cortical Dynamics. eNeuro 2023; 10:ENEURO.0047-23.2023. [PMID: 37487713 PMCID: PMC10368206 DOI: 10.1523/eneuro.0047-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 05/12/2023] [Accepted: 06/29/2023] [Indexed: 07/26/2023] Open
Abstract
Discriminating between temporal features in sensory stimuli is critical to complex behavior and decision-making. However, how sensory cortical circuit mechanisms contribute to discrimination between subsecond temporal components in sensory events is unclear. To elucidate the mechanistic underpinnings of timing in primary visual cortex (V1), we recorded from V1 using two-photon calcium imaging in awake-behaving mice performing a go/no-go discrimination timing task, which was composed of patterns of subsecond audiovisual stimuli. In both conditions, activity during the early stimulus period was temporally coordinated with the preferred stimulus. However, while network activity increased in the preferred condition, network activity was increasingly suppressed in the nonpreferred condition over the stimulus period. Multiple levels of analyses suggest that discrimination between subsecond intervals that are contained in rhythmic patterns can be accomplished by local neural dynamics in V1.
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Affiliation(s)
- Sam Post
- Department of Psychology, University of California, Riverside, Riverside, California 92521
| | - William Mol
- Department of Psychology, University of California, Riverside, Riverside, California 92521
| | - Omar Abu-Wishah
- Department of Psychology, University of California, Riverside, Riverside, California 92521
| | - Shazia Ali
- Department of Psychology, University of California, Riverside, Riverside, California 92521
| | - Noorhan Rahmatullah
- Department of Psychology, University of California, Riverside, Riverside, California 92521
| | - Anubhuti Goel
- Department of Psychology, University of California, Riverside, Riverside, California 92521
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35
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Price BH, Jensen CM, Khoudary AA, Gavornik JP. Expectation violations produce error signals in mouse V1. Cereb Cortex 2023; 33:8803-8820. [PMID: 37183176 PMCID: PMC10321125 DOI: 10.1093/cercor/bhad163] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/22/2023] [Accepted: 04/25/2023] [Indexed: 05/16/2023] Open
Abstract
Repeated exposure to visual sequences changes the form of evoked activity in the primary visual cortex (V1). Predictive coding theory provides a potential explanation for this, namely that plasticity shapes cortical circuits to encode spatiotemporal predictions and that subsequent responses are modulated by the degree to which actual inputs match these expectations. Here we use a recently developed statistical modeling technique called Model-Based Targeted Dimensionality Reduction (MbTDR) to study visually evoked dynamics in mouse V1 in the context of an experimental paradigm called "sequence learning." We report that evoked spiking activity changed significantly with training, in a manner generally consistent with the predictive coding framework. Neural responses to expected stimuli were suppressed in a late window (100-150 ms) after stimulus onset following training, whereas responses to novel stimuli were not. Substituting a novel stimulus for a familiar one led to increases in firing that persisted for at least 300 ms. Omitting predictable stimuli in trained animals also led to increased firing at the expected time of stimulus onset. Finally, we show that spiking data can be used to accurately decode time within the sequence. Our findings are consistent with the idea that plasticity in early visual circuits is involved in coding spatiotemporal information.
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Affiliation(s)
- Byron H Price
- Center for Systems Neuroscience, Department of Biology, Boston University, Boston, MA 02215, USA
- Graduate Program in Neuroscience, Boston University, Boston, MA 02215, USA
| | - Cambria M Jensen
- Center for Systems Neuroscience, Department of Biology, Boston University, Boston, MA 02215, USA
| | - Anthony A Khoudary
- Center for Systems Neuroscience, Department of Biology, Boston University, Boston, MA 02215, USA
| | - Jeffrey P Gavornik
- Center for Systems Neuroscience, Department of Biology, Boston University, Boston, MA 02215, USA
- Graduate Program in Neuroscience, Boston University, Boston, MA 02215, USA
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36
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Rosenblum L, Kreß A, Arikan BE, Straube B, Bremmer F. Neural correlates of visual and tactile path integration and their task related modulation. Sci Rep 2023; 13:9913. [PMID: 37337037 DOI: 10.1038/s41598-023-36797-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 06/09/2023] [Indexed: 06/21/2023] Open
Abstract
Self-motion induces sensory signals that allow to determine travel distance (path integration). For veridical path integration, one must distinguish self-generated from externally induced sensory signals. Predictive coding has been suggested to attenuate self-induced sensory responses, while task relevance can reverse the attenuating effect of prediction. But how is self-motion processing affected by prediction and task demands, and do effects generalize across senses? In this fMRI study, we investigated visual and tactile self-motion processing and its modulation by task demands. Visual stimuli simulated forward self-motion across a ground plane. Tactile self-motion stimuli were delivered by airflow across the subjects' forehead. In one task, subjects replicated a previously observed distance (Reproduction/Active; high behavioral demand) of passive self-displacement (Reproduction/Passive). In a second task, subjects travelled a self-chosen distance (Self/Active; low behavioral demand) which was recorded and played back to them (Self/Passive). For both tasks and sensory modalities, Active as compared to Passive trials showed enhancement in early visual areas and suppression in higher order areas of the inferior parietal lobule (IPL). Contrasting high and low demanding active trials yielded supramodal enhancement in the anterior insula. Suppression in the IPL suggests this area to be a comparator of sensory self-motion signals and predictions thereof.
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Affiliation(s)
- Lisa Rosenblum
- Department Neurophysics, Philipps-Universität Marburg, Karl-Von-Frisch-Straße 8a, 35043, Marburg, Germany.
- Center for Mind, Brain and Behavior, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Giessen, Germany.
| | - Alexander Kreß
- Department Neurophysics, Philipps-Universität Marburg, Karl-Von-Frisch-Straße 8a, 35043, Marburg, Germany
- Center for Mind, Brain and Behavior, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Giessen, Germany
| | - B Ezgi Arikan
- Center for Mind, Brain and Behavior, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Giessen, Germany
- Department of Psychology, Justus-Liebig-Universität Giessen, Giessen, Germany
| | - Benjamin Straube
- Center for Mind, Brain and Behavior, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Giessen, Germany
- Translational Neuroimaging Marburg, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
| | - Frank Bremmer
- Department Neurophysics, Philipps-Universität Marburg, Karl-Von-Frisch-Straße 8a, 35043, Marburg, Germany
- Center for Mind, Brain and Behavior, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Giessen, Germany
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37
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Calame DJ, Becker MI, Person AL. Cerebellar associative learning underlies skilled reach adaptation. Nat Neurosci 2023:10.1038/s41593-023-01347-y. [PMID: 37248339 DOI: 10.1038/s41593-023-01347-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 04/24/2023] [Indexed: 05/31/2023]
Abstract
The cerebellum is hypothesized to refine movement through online adjustments. We examined how such predictive control may be generated using a mouse reach paradigm, testing whether the cerebellum uses within-reach information as a predictor to adjust reach kinematics. We first identified a population-level response in Purkinje cells that scales inversely with reach velocity, pointing to the cerebellar cortex as a potential site linking kinematic predictors and anticipatory control. Next, we showed that mice can learn to compensate for a predictable reach perturbation caused by repeated, closed-loop optogenetic stimulation of pontocerebellar mossy fiber inputs. Both neural and behavioral readouts showed adaptation to position-locked mossy fiber perturbations and exhibited aftereffects when stimulation was removed. Surprisingly, position-randomized stimulation schedules drove partial adaptation but no opposing aftereffects. A model that recapitulated these findings suggests that the cerebellum may decipher cause-and-effect relationships through time-dependent generalization mechanisms.
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Affiliation(s)
- Dylan J Calame
- Neuroscience Graduate Program, University of Colorado School of Medicine, Aurora, CO, USA
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO, USA
| | - Matthew I Becker
- Neuroscience Graduate Program, University of Colorado School of Medicine, Aurora, CO, USA
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO, USA
| | - Abigail L Person
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO, USA.
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38
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Mannarelli D, Pauletti C, Petritis A, Maffucci A, Currà A, Trompetto C, Marinelli L, Fattapposta F. The role of cerebellum in timing processing: a contingent negative variation study. Neurosci Lett 2023:137301. [PMID: 37244448 DOI: 10.1016/j.neulet.2023.137301] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/20/2023] [Accepted: 05/12/2023] [Indexed: 05/29/2023]
Abstract
Time management is an important aspect of human behaviour and cognition. Several brain regions are thought to be involved in motor timing and time estimation tasks. However, subcortical regions such as the basal nuclei and cerebellum seem to play a role in timing control. The aim of this study was to investigate the role of the cerebellum in temporal processing. For this purpose, we transitorily inhibited cerebellar activity by means of cathodal transcranial direct current stimulation (tDCS) and studied the effects of this inhibition on contingent negative variation (CNV) parameters elicited during a S1-S2 motor task in healthy subjects. Sixteen healthy subjects underwent a S1-S2 motor task prior to and after cathodal and sham cerebellar tDCS in separate sessions. The CNV task consisted of a duration discrimination task in which subjects had to determine whether the duration of a probe interval trial was shorter (800 ms), longer (1600 ms), or equal to the target interval of 1200 ms. A reduction in total CNV amplitude emerged only after cathodal tDCS for short and target interval trials, while no differences were detected for the long interval trial. Errors were significantly higher after cathodal tDCS than at baseline evaluation of short and target intervals. No reaction time differences were found for any time interval after the cathodal and sham sessions. These results point to a role of the cerebellum in time perception. In particular, the cerebellum seems to regulate temporal interval discrimination for second and sub-second ranges.
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Affiliation(s)
- Daniela Mannarelli
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome, Italy.
| | - Caterina Pauletti
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome, Italy.
| | - Alessia Petritis
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome, Italy.
| | - Andrea Maffucci
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome, Italy.
| | - Antonio Currà
- Department of Medical-Surgical Sciences and Biotechnologies, A. Fiorini Hospital, Terracina, LT, Sapienza University of Rome, Polo Pontino, Latina, Italy.
| | - Carlo Trompetto
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy; Department of Neurosciences, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
| | - Lucio Marinelli
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy; Department of Neurosciences, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
| | - Francesco Fattapposta
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome, Italy.
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Nandi B, Ostrand A, Johnson V, Ford TJ, Gazzaley A, Zanto TP. Musical Training Facilitates Exogenous Temporal Attention via Delta Phase Entrainment within a Sensorimotor Network. J Neurosci 2023; 43:3365-3378. [PMID: 36977585 PMCID: PMC10162458 DOI: 10.1523/jneurosci.0220-22.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 01/24/2023] [Accepted: 01/28/2023] [Indexed: 03/30/2023] Open
Abstract
Temporal orienting of attention plays an important role in our day-to-day lives and can use timing information from exogenous or endogenous sources. Yet, it is unclear what neural mechanisms give rise to temporal attention, and it is debated whether both exogenous and endogenous forms of temporal attention share a common neural source. Here, older adult nonmusicians (N = 47, 24 female) were randomized to undergo 8 weeks of either rhythm training, which places demands on exogenous temporal attention, or word search training as a control. The goal was to assess (1) the neural basis of exogenous temporal attention and (2) whether training-induced improvements in exogenous temporal attention can transfer to enhanced endogenous temporal attention abilities, thereby providing support for a common neural mechanism of temporal attention. Before and after training, exogenous temporal attention was assessed using a rhythmic synchronization paradigm, whereas endogenous temporal attention was evaluated via a temporally cued visual discrimination task. Results showed that rhythm training improved performance on the exogenous temporal attention task, which was associated with increased intertrial coherence within the δ (1-4 Hz) band as assessed by EEG recordings. Source localization revealed increased δ-band intertrial coherence arose from a sensorimotor network, including premotor cortex, anterior cingulate cortex, postcentral gyrus, and the inferior parietal lobule. Despite these improvements in exogenous temporal attention, such benefits were not transferred to endogenous attentional ability. These results support the notion that exogenous and endogenous temporal attention uses independent neural sources, with exogenous temporal attention relying on the precise timing of δ band oscillations within a sensorimotor network.SIGNIFICANCE STATEMENT Allocating attention to specific points in time is known as temporal attention, and may arise from external (exogenous) or internal (endogenous) sources. Despite its importance to our daily lives, it is unclear how the brain gives rise to temporal attention and whether exogenous- or endogenous-based sources for temporal attention rely on shared brain regions. Here, we demonstrate that musical rhythm training improves exogenous temporal attention, which was associated with more consistent timing of neural activity in sensory and motor processing brain regions. However, these benefits did not extend to endogenous temporal attention, indicating that temporal attention relies on different brain regions depending on the source of timing information.
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Affiliation(s)
- Bijurika Nandi
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
| | - Avery Ostrand
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
| | - Vinith Johnson
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
| | - Tiffany J Ford
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
| | - Adam Gazzaley
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
- Departments of Physiology and Psychiatry, University of California-San Francisco, San Francisco, California 94158
| | - Theodore P Zanto
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
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Kawai Y, Park J, Tsuda I, Asada M. Learning long-term motor timing/patterns on an orthogonal basis in random neural networks. Neural Netw 2023; 163:298-311. [PMID: 37087852 DOI: 10.1016/j.neunet.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 03/15/2023] [Accepted: 04/05/2023] [Indexed: 04/25/2023]
Abstract
The ability of the brain to generate complex spatiotemporal patterns with specific timings is essential for motor learning and temporal processing. An approach that can model this function, using the spontaneous activity of a random neural network (RNN), is associated with orbital instability. We propose a simple system that learns an arbitrary time series as the linear sum of stable trajectories produced by several small network modules. New finding in computer experiments is that the trajectories of the module outputs are orthogonal to each other. They created a dynamic orthogonal basis acquiring a high representational capacity, which enabled the system to learn the timing of extremely long intervals, such as tens of seconds for a millisecond computation unit, and also the complex time series of Lorenz attractors. This self-sustained system satisfies the stability and orthogonality requirements and thus provides a new neurocomputing framework and perspective for the neural mechanisms of motor learning.
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Affiliation(s)
- Yuji Kawai
- Symbiotic Intelligent Systems Research Center, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, 1-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
| | - Jihoon Park
- Symbiotic Intelligent Systems Research Center, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, 1-1 Yamadaoka, Suita, Osaka 565-0871, Japan; Center for Information and Neural Networks, National Institute of Information and Communications Technology, 1-4 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Ichiro Tsuda
- Chubu University Academy of Emerging Sciences/Center for Mathematical Science and Artificial Intelligence, Chubu University, 1200 Matsumoto-cho, Kasugai, Aichi 487-8501, Japan
| | - Minoru Asada
- Symbiotic Intelligent Systems Research Center, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, 1-1 Yamadaoka, Suita, Osaka 565-0871, Japan; Center for Information and Neural Networks, National Institute of Information and Communications Technology, 1-4 Yamadaoka, Suita, Osaka 565-0871, Japan; Chubu University Academy of Emerging Sciences/Center for Mathematical Science and Artificial Intelligence, Chubu University, 1200 Matsumoto-cho, Kasugai, Aichi 487-8501, Japan; International Professional University of Technology in Osaka, 3-3-1 Umeda, Kita-ku, Osaka 530-0001, Japan
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Foerster FR, Chidharom M, Giersch A. Enhanced temporal resolution of vision in action video game players. Neuroimage 2023; 269:119906. [PMID: 36739103 DOI: 10.1016/j.neuroimage.2023.119906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 01/16/2023] [Accepted: 01/26/2023] [Indexed: 02/05/2023] Open
Abstract
Video game play has been suggested to improve visual and attention processing. Nevertheless, while action video game play is highly dynamic, there is scarce research on how information is temporally discriminated at the millisecond level. This cross-sectional study investigates whether temporal discrimination at the millisecond level in vision varies across action video game players (VGPs; N = 23) and non-video game players (NVGPs; N = 23). Participants discriminated synchronous from asynchronous onsets of two visual targets in virtual reality, while their EEG and oculomotor movements were recorded. Results show an increased sensitivity to short asynchronies (11, 33 and 66 ms) in VGPs compared with NVGPs, which was especially marked at the start of the task, suggesting better temporal discrimination abilities. Pre-targets oculomotor freezing - the inhibition of small fixational saccades - was associated with correct temporal discrimination, probably revealing attentional preparation. However, this parameter did not differ between groups. EEG and reconstruction analyses suggest that the enhancement of temporal discrimination in VGPs during temporal discrimination is related to parieto-occipital processing, and a reduction of alpha-band (8-14 Hz) power and inter-trial phase coherence. Overall, the study reveals an enhanced ability in action video game players to discriminate in time visual events in close temporal proximity combined with reduced alpha-band oscillatory activities. Consequently, playing action video games is associated with an improved temporal resolution of vision.
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Affiliation(s)
- Francois R Foerster
- Université de Strasbourg, INSERM U1114, Pôle de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, France.
| | - Matthieu Chidharom
- Department of Psychology, Lehigh University, Bethlehem, PA, United States
| | - Anne Giersch
- Université de Strasbourg, INSERM U1114, Pôle de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, France
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Sawatani F, Ide K, Takahashi S. The neural representation of time distributed across multiple brain regions differs between implicit and explicit time demands. Neurobiol Learn Mem 2023; 199:107731. [PMID: 36764645 DOI: 10.1016/j.nlm.2023.107731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 01/19/2023] [Accepted: 02/04/2023] [Indexed: 02/10/2023]
Abstract
Animals appear to possess an internal timer during action, based on the passage of time. However, the neural underpinnings of the perception of time, ranging from seconds to minutes, remain unclear. Herein, we considered the neural representation of time based on mounting evidence on the neural correlates of time perception. The passage of time in the brain is represented by two types of neural encoding as follows: (i) the modulation of firing rates in single neurons and (ii) the sequential activity in neural ensembles. Time-dependent neural activity reflects the relative time rather than the absolute time, similar to a clock. They emerge in multiple regions, including the hippocampus, medial and lateral entorhinal cortices, medial prefrontal cortex, and dorsal striatum. Moreover, they involve different brain regions, depending on an implicit or explicit event duration. Thus, the two types of internal timers distributed across multiple brain regions simultaneously engage in time perception, in response to implicit or explicit time demands.
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Affiliation(s)
- Fumiya Sawatani
- Laboratory of Cognitive and Behavioral Neuroscience, Graduate School of Brain Science, Doshisha University, Kyotanabe City, Kyoto 610-0394, Japan.
| | - Kaoru Ide
- Laboratory of Cognitive and Behavioral Neuroscience, Graduate School of Brain Science, Doshisha University, Kyotanabe City, Kyoto 610-0394, Japan
| | - Susumu Takahashi
- Laboratory of Cognitive and Behavioral Neuroscience, Graduate School of Brain Science, Doshisha University, Kyotanabe City, Kyoto 610-0394, Japan.
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43
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White PA. Time marking in perception. Neurosci Biobehav Rev 2023; 146:105043. [PMID: 36642288 DOI: 10.1016/j.neubiorev.2023.105043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 12/21/2022] [Accepted: 01/10/2023] [Indexed: 01/15/2023]
Abstract
Several authors have proposed that perceptual information carries labels that identify temporal features, including time of occurrence, ordinal temporal relations, and brief durations. These labels serve to locate and organise perceptual objects, features, and events in time. In some proposals time marking has local, specific functions such as synchronisation of different features in perceptual processing. In other proposals time marking has general significance and is responsible for rendering perceptual experience temporally coherent, just as various forms of spatial information render the visual environment spatially coherent. These proposals, which all concern time marking on the millisecond time scale, are reviewed. It is concluded that time marking is vital to the construction of a multisensory perceptual world in which things are orderly with respect to both space and time, but that much more research is needed to ascertain its functions in perception and its neurophysiological foundations.
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Affiliation(s)
- Peter A White
- School of Psychology, Cardiff University, Tower Building, Park Place, Cardiff CF10 3YG, Wales, UK.
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Tamura K, Yamamoto Y, Kobayashi T, Kuriyama R, Yamazaki T. Discrimination and learning of temporal input sequences in a cerebellar Purkinje cell model. Front Cell Neurosci 2023; 17:1075005. [PMID: 36816857 PMCID: PMC9932327 DOI: 10.3389/fncel.2023.1075005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/10/2023] [Indexed: 02/05/2023] Open
Abstract
Introduction Temporal information processing is essential for sequential contraction of various muscles with the appropriate timing and amplitude for fast and smooth motor control. These functions depend on dynamics of neural circuits, which consist of simple neurons that accumulate incoming spikes and emit other spikes. However, recent studies indicate that individual neurons can perform complex information processing through the nonlinear dynamics of dendrites with complex shapes and ion channels. Although we have extensive evidence that cerebellar circuits play a vital role in motor control, studies investigating the computational ability of single Purkinje cells are few. Methods We found, through computer simulations, that a Purkinje cell can discriminate a series of pulses in two directions (from dendrite tip to soma, and from soma to dendrite), as cortical pyramidal cells do. Such direction sensitivity was observed in whatever compartment types of dendrites (spiny, smooth, and main), although they have dierent sets of ion channels. Results We found that the shortest and longest discriminable sequences lasted for 60 ms (6 pulses with 10 ms interval) and 4,000 ms (20 pulses with 200 ms interval), respectively. and that the ratio of discriminable sequences within the region of the interesting parameter space was, on average, 3.3% (spiny), 3.2% (smooth), and 1.0% (main). For the direction sensitivity, a T-type Ca2+ channel was necessary, in contrast with cortical pyramidal cells that have N-methyl-D-aspartate receptors (NMDARs). Furthermore, we tested whether the stimulus direction can be reversed by learning, specifically by simulated long-term depression, and obtained positive results. Discussion Our results show that individual Purkinje cells can perform more complex information processing than is conventionally assumed for a single neuron, and suggest that Purkinje cells act as sequence discriminators, a useful role in motor control and learning.
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Affiliation(s)
- Kaaya Tamura
- Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan
| | - Yuki Yamamoto
- Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Taira Kobayashi
- Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan,Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi, Japan
| | - Rin Kuriyama
- Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan
| | - Tadashi Yamazaki
- Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan,*Correspondence: Tadashi Yamazaki ✉
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Mafi F, Tang MF, Afarinesh MR, Ghasemian S, Sheibani V, Arabzadeh E. Temporal order judgment of multisensory stimuli in rat and human. Front Behav Neurosci 2023; 16:1070452. [PMID: 36710957 PMCID: PMC9879721 DOI: 10.3389/fnbeh.2022.1070452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/16/2022] [Indexed: 01/13/2023] Open
Abstract
We do not fully understand the resolution at which temporal information is processed by different species. Here we employed a temporal order judgment (TOJ) task in rats and humans to test the temporal precision with which these species can detect the order of presentation of simple stimuli across two modalities of vision and audition. Both species reported the order of audiovisual stimuli when they were presented from a central location at a range of stimulus onset asynchronies (SOA)s. While both species could reliably distinguish the temporal order of stimuli based on their sensory content (i.e., the modality label), rats outperformed humans at short SOAs (less than 100 ms) whereas humans outperformed rats at long SOAs (greater than 100 ms). Moreover, rats produced faster responses compared to humans. The reaction time data further revealed key differences in decision process across the two species: at longer SOAs, reaction times increased in rats but decreased in humans. Finally, drift-diffusion modeling allowed us to isolate the contribution of various parameters including evidence accumulation rates, lapse and bias to the sensory decision. Consistent with the psychophysical findings, the model revealed higher temporal sensitivity and a higher lapse rate in rats compared to humans. These findings suggest that these species applied different strategies for making perceptual decisions in the context of a multimodal TOJ task.
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Affiliation(s)
- Fatemeh Mafi
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran,Cognitive Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Matthew F. Tang
- Eccles Institute of Neuroscience, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - Mohammad Reza Afarinesh
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran,Cognitive Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Sadegh Ghasemian
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran,Cognitive Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Vahid Sheibani
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran,Cognitive Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Ehsan Arabzadeh
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran,Cognitive Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran,Eccles Institute of Neuroscience, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia,*Correspondence: Ehsan Arabzadeh,
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Gilmer JI, Farries MA, Kilpatrick Z, Delis I, Cohen JD, Person AL. An emergent temporal basis set robustly supports cerebellar time-series learning. J Neurophysiol 2023; 129:159-176. [PMID: 36416445 PMCID: PMC9990911 DOI: 10.1152/jn.00312.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 11/24/2022] Open
Abstract
The cerebellum is considered a "learning machine" essential for time interval estimation underlying motor coordination and other behaviors. Theoretical work has proposed that the cerebellum's input recipient structure, the granule cell layer (GCL), performs pattern separation of inputs that facilitates learning in Purkinje cells (P-cells). However, the relationship between input reformatting and learning has remained debated, with roles emphasized for pattern separation features from sparsification to decorrelation. We took a novel approach by training a minimalist model of the cerebellar cortex to learn complex time-series data from time-varying inputs, typical during movements. The model robustly produced temporal basis sets from these inputs, and the resultant GCL output supported better learning of temporally complex target functions than mossy fibers alone. Learning was optimized at intermediate threshold levels, supporting relatively dense granule cell activity, yet the key statistical features in GCL population activity that drove learning differed from those seen previously for classification tasks. These findings advance testable hypotheses for mechanisms of temporal basis set formation and predict that moderately dense population activity optimizes learning.NEW & NOTEWORTHY During movement, mossy fiber inputs to the cerebellum relay time-varying information with strong intrinsic relationships to ongoing movement. Are such mossy fibers signals sufficient to support Purkinje signals and learning? In a model, we show how the GCL greatly improves Purkinje learning of complex, temporally dynamic signals relative to mossy fibers alone. Learning-optimized GCL population activity was moderately dense, which retained intrinsic input variance while also performing pattern separation.
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Affiliation(s)
- Jesse I Gilmer
- Neuroscience Graduate Program, University of Colorado School of Medicine, Aurora, Colorado
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, Colorado
| | - Michael A Farries
- Knoebel Institute for Healthy Aging, University of Denver, Denver, Colorado
| | - Zachary Kilpatrick
- Department of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado
| | - Ioannis Delis
- School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom
| | - Jeremy D Cohen
- University of North Carolina Neuroscience Center, Chapel Hill, North Carolina
| | - Abigail L Person
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, Colorado
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Droit-Volet S, Hallez Q. Difference Between the Judgment of Short and Long Durations: Estimates of Durations and Judgment of the Passage of Time. TIMING & TIME PERCEPTION 2022. [DOI: 10.1163/22134468-bja10072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Abstract
This study aimed to examine intra-individual differences in both duration and passage of time (PoT) judgments, and the relationships between them, for a wide range of durations going from a few hundred milliseconds to several minutes. Participants performed a study with a within-subjects design with durations in the milliseconds (200–400 ms), seconds (2–4 s), tens of seconds (20–40 s) and minutes (2–4 min) ranges. For the duration judgments, the results revealed individual differences in temporal accuracy between short durations (<3 s) and long durations (>20 s). In contrast, positive relationships were observed for PoT judgments across the different time scales, except for the millisecond duration. Finally, a significant correlation between duration and PoT judgments appeared in our study only for durations longer than 1 s. Taken together, these results support the temporal taxonomy that distinguishes between the processing of short and long durations, with the latter likely being modulated by memory mechanisms and the awareness of the PoT.
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Affiliation(s)
- Sylvie Droit-Volet
- Université Clermont-Ferrand, CNRS, LAPSCO, F-63000 Clermont-Ferrand, France
| | - Quentin Hallez
- Institut de Psychologie, DIPHE, Université Lumière Lyon 2, 69500 Bron, France
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48
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Izadifar M. Lack of a timing system in the old but still new theory: towards elucidating schizophrenia. Gen Psychiatr 2022; 35:e100842. [PMID: 36688008 PMCID: PMC9806003 DOI: 10.1136/gpsych-2022-100842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 12/13/2022] [Indexed: 12/29/2022] Open
Affiliation(s)
- Morteza Izadifar
- Institute of Medical Psychology and Human Science Center, Ludwig-Maximilian University Munich, Munich, Germany
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Echreshavi M, Shakerian N, Shahvandi HK, Momeni M, Mehramiri A, Ghafouri S. Time perception impairment in multiple sclerosis patients: a survey on internal clock model. NEUROSCIENCE AND BEHAVIORAL PHYSIOLOGY 2022; 53:1-10. [PMID: 36590598 PMCID: PMC9792941 DOI: 10.1007/s11055-022-01302-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/26/2022] [Indexed: 12/28/2022]
Abstract
Time perception is known as a mental ability to discern time. Although relative nature of time leaves its numerous aspects undefined, several models have been developed to describe temporal information processing in the brain as well as several areas of the brain have shown to be involved. Time perception alteration has been reported in several neurological conditions; however, the effect of multiple sclerosis (MS) on time perception has yet to be explained. In this study, we aimed to investigate the domains of temporal processing involved in patients with MS and the probable factors affecting it, such as the location of brain demyelinating plaques and gender. Two groups of participants (MS: n = 27 (8 men, 19 women), mean age = 33.85; control: n = 30 (10 men, 20 women), mean age = 28.46) were asked to perform quadruplet time perception tasks (prospective time estimation, duration discrimination, temporal reproduction, and paced motor timing) designed with a software program. Patients with MS had significantly higher scores in time estimation (p < 0.01) and duration discrimination (p < 0.001, in 100-ms interval; p < 0.05, in 1000-ms interval), indicating that MS patients overestimate the time. Since a slower internal clock for MS patients was expected as a result of axonal demyelination, these results suggest the time overestimation in patients with MS which is in contrast with the internal clock model. It means that a slow internal clock causes underestimating and perceiving the time slower.
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Affiliation(s)
- Mina Echreshavi
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Narges Shakerian
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Musculoskeletal Rehabilitation Research Center Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hassan Kiani Shahvandi
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mohammad Momeni
- Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Asieh Mehramiri
- Department of Neurology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Samireh Ghafouri
- Department of Physiology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, PO Box: 6135715753, Ahvaz, Iran
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Yu Q, Bi Z, Jiang S, Yan B, Chen H, Wang Y, Miao Y, Li K, Wei Z, Xie Y, Tan X, Liu X, Fu H, Cui L, Xing L, Weng S, Wang X, Yuan Y, Zhou C, Wang G, Li L, Ma L, Mao Y, Chen L, Zhang J. Visual cortex encodes timing information in humans and mice. Neuron 2022; 110:4194-4211.e10. [PMID: 36195097 DOI: 10.1016/j.neuron.2022.09.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 03/15/2022] [Accepted: 09/07/2022] [Indexed: 11/07/2022]
Abstract
Despite the importance of timing in our daily lives, our understanding of how the human brain mediates second-scale time perception is limited. Here, we combined intracranial stereoelectroencephalography (SEEG) recordings in epileptic patients and circuit dissection in mice to show that visual cortex (VC) encodes timing information. We first asked human participants to perform an interval-timing task and found VC to be a key timing brain area. We then conducted optogenetic experiments in mice and showed that VC plays an important role in the interval-timing behavior. We further found that VC neurons fired in a time-keeping sequential manner and exhibited increased excitability in a timed manner. Finally, we used a computational model to illustrate a self-correcting learning process that generates interval-timed activities with scalar-timing property. Our work reveals how localized oscillations in VC occurring in the seconds to deca-seconds range relate timing information from the external world to guide behavior.
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Affiliation(s)
- Qingpeng Yu
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Zedong Bi
- Lingang Laboratory, Shanghai 200031, China; Institute for Future, School of Automation, Qingdao University, Qingdao 266071, China; Department of Physics, Centre for Nonlinear Studies and Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong; Research Centre, HKBU Institute of Research and Continuing Education, Shenzhen, China
| | - Shize Jiang
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Biao Yan
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Heming Chen
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Yiting Wang
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Yizhan Miao
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Kexin Li
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Zixuan Wei
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Yuanting Xie
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Xinrong Tan
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Xiaodi Liu
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Hang Fu
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Liyuan Cui
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Lu Xing
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Shijun Weng
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Xin Wang
- Department of Neurology and Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yuanzhi Yuan
- Department of Neurology and Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Changsong Zhou
- Department of Physics, Centre for Nonlinear Studies and Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong; Research Centre, HKBU Institute of Research and Continuing Education, Shenzhen, China
| | - Gang Wang
- Center of Brain Sciences, Beijing Institute of Basic Medical Sciences, Beijing 100850, China
| | - Liang Li
- Center of Brain Sciences, Beijing Institute of Basic Medical Sciences, Beijing 100850, China
| | - Lan Ma
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Ying Mao
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China.
| | - Liang Chen
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China; Tianqiao and Chrissy Chen Institute Clinical Translational Research Center, Shanghai 200040, China.
| | - Jiayi Zhang
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200032, China; Institute for Medical and Engineering Innovation, Eye & ENT Hospital, Fudan University, Shanghai 200031, China.
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