1
|
Hirabayashi T, Nagai Y, Hori Y, Hori Y, Oyama K, Mimura K, Miyakawa N, Iwaoki H, Inoue KI, Suhara T, Takada M, Higuchi M, Minamimoto T. Multiscale chemogenetic dissection of fronto-temporal top-down regulation for object memory in primates. Nat Commun 2024; 15:5369. [PMID: 38987235 PMCID: PMC11237144 DOI: 10.1038/s41467-024-49570-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: 11/17/2023] [Accepted: 06/07/2024] [Indexed: 07/12/2024] Open
Abstract
Visual object memory is a fundamental element of various cognitive abilities, and the underlying neural mechanisms have been extensively examined especially in the anterior temporal cortex of primates. However, both macroscopic large-scale functional network in which this region is embedded and microscopic neuron-level dynamics of top-down regulation it receives for object memory remains elusive. Here, we identified the orbitofrontal node as a critical partner of the anterior temporal node for object memory by combining whole-brain functional imaging during rest and a short-term object memory task in male macaques. Focal chemogenetic silencing of the identified orbitofrontal node downregulated both the local orbitofrontal and remote anterior temporal nodes during the task, in association with deteriorated mnemonic, but not perceptual, performance. Furthermore, imaging-guided neuronal recordings in the same monkeys during the same task causally revealed that orbitofrontal top-down modulation enhanced stimulus-selective mnemonic signal in individual anterior temporal neurons while leaving bottom-up perceptual signal unchanged. Furthermore, similar activity difference was also observed between correct and mnemonic error trials before silencing, suggesting its behavioral relevance. These multifaceted but convergent results provide a multiscale causal understanding of dynamic top-down regulation of the anterior temporal cortex along the ventral fronto-temporal network underpinning short-term object memory in primates.
Collapse
Affiliation(s)
- Toshiyuki Hirabayashi
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan.
| | - Yuji Nagai
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Yuki Hori
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Yukiko Hori
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Kei Oyama
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Koki Mimura
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Naohisa Miyakawa
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Haruhiko Iwaoki
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Ken-Ichi Inoue
- Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Tetsuya Suhara
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Masahiko Takada
- Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Makoto Higuchi
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Takafumi Minamimoto
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| |
Collapse
|
2
|
Xiao W, Sharma S, Kreiman G, Livingstone MS. Feature-selective responses in macaque visual cortex follow eye movements during natural vision. Nat Neurosci 2024; 27:1157-1166. [PMID: 38684892 PMCID: PMC11156562 DOI: 10.1038/s41593-024-01631-5] [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: 02/07/2023] [Accepted: 03/26/2024] [Indexed: 05/02/2024]
Abstract
In natural vision, primates actively move their eyes several times per second via saccades. It remains unclear whether, during this active looking, visual neurons exhibit classical retinotopic properties, anticipate gaze shifts or mirror the stable quality of perception, especially in complex natural scenes. Here, we let 13 monkeys freely view thousands of natural images across 4.6 million fixations, recorded 883 h of neuronal responses in six areas spanning primary visual to anterior inferior temporal cortex and analyzed spatial, temporal and featural selectivity in these responses. Face neurons tracked their receptive field contents, indicated by category-selective responses. Self-consistency analysis showed that general feature-selective responses also followed eye movements and remained gaze-dependent over seconds of viewing the same image. Computational models of feature-selective responses located retinotopic receptive fields during free viewing. We found limited evidence for feature-selective predictive remapping and no viewing-history integration. Thus, ventral visual neurons represent the world in a predominantly eye-centered reference frame during natural vision.
Collapse
Affiliation(s)
- Will Xiao
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
| | - Saloni Sharma
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Gabriel Kreiman
- Department of Ophthalmology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | | |
Collapse
|
3
|
Chen J, Bornstein AM. The causal structure and computational value of narratives. Trends Cogn Sci 2024:S1364-6613(24)00082-2. [PMID: 38734531 DOI: 10.1016/j.tics.2024.04.003] [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: 12/08/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 05/13/2024]
Abstract
Many human behavioral and brain imaging studies have used narratively structured stimuli (e.g., written, audio, or audiovisual stories) to better emulate real-world experience in the laboratory. However, narratives are a special class of real-world experience, largely defined by their causal connections across time. Much contemporary neuroscience research does not consider this key property. We review behavioral and neuroscientific work that speaks to how causal structure shapes comprehension of and memory for narratives. We further draw connections between this work and reinforcement learning, highlighting how narratives help link causes to outcomes in complex environments. By incorporating the plausibility of causal connections between classes of actions and outcomes, reinforcement learning models may become more ecologically valid, while simultaneously elucidating the value of narratives.
Collapse
Affiliation(s)
- Janice Chen
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.
| | - Aaron M Bornstein
- Department of Cognitive Sciences, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| |
Collapse
|
4
|
Kupers ER, Kim I, Grill-Spector K. Rethinking simultaneous suppression in visual cortex via compressive spatiotemporal population receptive fields. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.06.24.546388. [PMID: 37461470 PMCID: PMC10350247 DOI: 10.1101/2023.06.24.546388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
When multiple visual stimuli are presented simultaneously in the receptive field, the neural response is suppressed compared to presenting the same stimuli sequentially. The prevailing hypothesis suggests that this suppression is due to competition among multiple stimuli for limited resources within receptive fields, governed by task demands. However, it is unknown how stimulus-driven computations may give rise to simultaneous suppression. Using fMRI, we find simultaneous suppression in single voxels, which varies with both stimulus size and timing, and progressively increases up the visual hierarchy. Using population receptive field (pRF) models, we find that compressive spatiotemporal summation rather than compressive spatial summation predicts simultaneous suppression, and that increased simultaneous suppression is linked to larger pRF sizes and stronger compressive nonlinearities. These results necessitate a rethinking of simultaneous suppression as the outcome of stimulus-driven compressive spatiotemporal computations within pRFs, and open new opportunities to study visual processing capacity across space and time.
Collapse
Affiliation(s)
| | - Insub Kim
- Department of Psychology, Stanford University, CA, USA
| | - Kalanit Grill-Spector
- Department of Psychology, Stanford University, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, CA, USA
| |
Collapse
|
5
|
Smekal V, Poyo Solanas M, Fraats EIC, de Gelder B. Differential contributions of body form, motion, and temporal information to subjective action understanding in naturalistic stimuli. Front Integr Neurosci 2024; 18:1302960. [PMID: 38533314 PMCID: PMC10963482 DOI: 10.3389/fnint.2024.1302960] [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: 09/27/2023] [Accepted: 02/14/2024] [Indexed: 03/28/2024] Open
Abstract
Introduction We investigated the factors underlying naturalistic action recognition and understanding, as well as the errors occurring during recognition failures. Methods Participants saw full-light stimuli of ten different whole-body actions presented in three different conditions: as normal videos, as videos with the temporal order of the frames scrambled, and as single static representative frames. After each stimulus presentation participants completed one of two tasks-a forced choice task where they were given the ten potential action labels as options, or a free description task, where they could describe the action performed in each stimulus in their own words. Results While generally, a combination of form, motion, and temporal information led to the highest action understanding, for some actions form information was sufficient and adding motion and temporal information did not increase recognition accuracy. We also analyzed errors in action recognition and found primarily two different types. Discussion One type of error was on the semantic level, while the other consisted of reverting to the kinematic level of body part processing without any attribution of semantics. We elaborate on these results in the context of naturalistic action perception.
Collapse
Affiliation(s)
- Vojtěch Smekal
- Brain and Emotion Lab, Department of Cognitive Neuroscience, Maastricht Brain Imaging Centre, Maastricht University, Maastricht, Netherlands
| | | | | | | |
Collapse
|
6
|
Keles U, Dubois J, Le KJM, Tyszka JM, Kahn DA, Reed CM, Chung JM, Mamelak AN, Adolphs R, Rutishauser U. Multimodal single-neuron, intracranial EEG, and fMRI brain responses during movie watching in human patients. Sci Data 2024; 11:214. [PMID: 38365977 PMCID: PMC10873379 DOI: 10.1038/s41597-024-03029-1] [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: 10/27/2023] [Accepted: 01/31/2024] [Indexed: 02/18/2024] Open
Abstract
We present a multimodal dataset of intracranial recordings, fMRI, and eye tracking in 20 participants during movie watching. Recordings consist of single neurons, local field potential, and intracranial EEG activity acquired from depth electrodes targeting the amygdala, hippocampus, and medial frontal cortex implanted for monitoring of epileptic seizures. Participants watched an 8-min long excerpt from the video "Bang! You're Dead" and performed a recognition memory test for movie content. 3 T fMRI activity was recorded prior to surgery in 11 of these participants while performing the same task. This NWB- and BIDS-formatted dataset includes spike times, field potential activity, behavior, eye tracking, electrode locations, demographics, and functional and structural MRI scans. For technical validation, we provide signal quality metrics, assess eye tracking quality, behavior, the tuning of cells and high-frequency broadband power field potentials to familiarity and event boundaries, and show brain-wide inter-subject correlations for fMRI. This dataset will facilitate the investigation of brain activity during movie watching, recognition memory, and the neural basis of the fMRI-BOLD signal.
Collapse
Affiliation(s)
- Umit Keles
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
| | - Julien Dubois
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kevin J M Le
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - J Michael Tyszka
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
| | - David A Kahn
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
| | - Chrystal M Reed
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jeffrey M Chung
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Adam N Mamelak
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ralph Adolphs
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
| | - Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| |
Collapse
|
7
|
Wang L, Zhou X, Zeng F, Cao M, Zuo S, Yang J, Kusunoki M, Wang H, Zhou YD, Chen A, Kwok SC. Mixed Selectivity Coding of Content-Temporal Detail by Dorsomedial Posterior Parietal Neurons. J Neurosci 2024; 44:e1677232023. [PMID: 37985178 PMCID: PMC10860630 DOI: 10.1523/jneurosci.1677-23.2023] [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: 09/05/2023] [Revised: 10/27/2023] [Accepted: 11/01/2023] [Indexed: 11/22/2023] Open
Abstract
The dorsomedial posterior parietal cortex (dmPPC) is part of a higher-cognition network implicated in elaborate processes underpinning memory formation, recollection, episode reconstruction, and temporal information processing. Neural coding for complex episodic processing is however under-documented. Here, we recorded extracellular neural activities from three male rhesus macaques (Macaca mulatta) and revealed a set of neural codes of "neuroethogram" in the primate parietal cortex. Analyzing neural responses in macaque dmPPC to naturalistic videos, we discovered several groups of neurons that are sensitive to different categories of ethogram items, low-level sensory features, and saccadic eye movement. We also discovered that the processing of category and feature information by these neurons is sustained by the accumulation of temporal information over a long timescale of up to 30 s, corroborating its reported long temporal receptive windows. We performed an additional behavioral experiment with additional two male rhesus macaques and found that saccade-related activities could not account for the mixed neuronal responses elicited by the video stimuli. We further observed monkeys' scan paths and gaze consistency are modulated by video content. Taken altogether, these neural findings explain how dmPPC weaves fabrics of ongoing experiences together in real time. The high dimensionality of neural representations should motivate us to shift the focus of attention from pure selectivity neurons to mixed selectivity neurons, especially in increasingly complex naturalistic task designs.
Collapse
Affiliation(s)
- Lei Wang
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan 215316, Jiangsu, China
| | - Xufeng Zhou
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan 215316, Jiangsu, China
| | - Fu Zeng
- Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China
| | - Mingfeng Cao
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan 215316, Jiangsu, China
- Whiting School of Engineering, department of biomedical engineering, Johns Hopkins University, Baltimore, Maryland 21218
| | - Shuzhen Zuo
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Laboratory for Circuit and Behavioral Physiology, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan
- Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan
| | - Jie Yang
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Makoto Kusunoki
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, United Kingdom
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom
| | - Huimin Wang
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China
- Shanghai Changning Mental Health Center, Shanghai 200335, China
- NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai 200062, China
| | - Yong-di Zhou
- School of Psychology, Shenzhen University, Shenzhen 518052, China
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland 21218
| | - Aihua Chen
- Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China
| | - Sze Chai Kwok
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan 215316, Jiangsu, China
- Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China
- Shanghai Changning Mental Health Center, Shanghai 200335, China
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China
| |
Collapse
|
8
|
Raman R, Bognár A, Nejad GG, Taubert N, Giese M, Vogels R. Bodies in motion: Unraveling the distinct roles of motion and shape in dynamic body responses in the temporal cortex. Cell Rep 2023; 42:113438. [PMID: 37995183 PMCID: PMC10783614 DOI: 10.1016/j.celrep.2023.113438] [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: 06/07/2023] [Revised: 09/26/2023] [Accepted: 10/26/2023] [Indexed: 11/25/2023] Open
Abstract
The temporal cortex represents social stimuli, including bodies. We examine and compare the contributions of dynamic and static features to the single-unit responses to moving monkey bodies in and between a patch in the anterior dorsal bank of the superior temporal sulcus (dorsal patch [DP]) and patches in the anterior inferotemporal cortex (ventral patch [VP]), using fMRI guidance in macaques. The response to dynamics varies within both regions, being higher in DP. The dynamic body selectivity of VP neurons correlates with static features derived from convolutional neural networks and motion. DP neurons' dynamic body selectivity is not predicted by static features but is dominated by motion. Whereas these data support the dominance of motion in the newly proposed "dynamic social perception" stream, they challenge the traditional view that distinguishes DP and VP processing in terms of motion versus static features, underscoring the role of inferotemporal neurons in representing body dynamics.
Collapse
Affiliation(s)
- Rajani Raman
- Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium; Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Anna Bognár
- Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium; Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Ghazaleh Ghamkhari Nejad
- Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium; Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Nick Taubert
- Hertie Institute for Clinical Brain Research and Center for Integrative Neuroscience, University Clinic Tuebingen, 72074 Tuebingen, Germany
| | - Martin Giese
- Hertie Institute for Clinical Brain Research and Center for Integrative Neuroscience, University Clinic Tuebingen, 72074 Tuebingen, Germany
| | - Rufin Vogels
- Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium; Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium.
| |
Collapse
|
9
|
Jiahui G, Feilong M, Visconti di Oleggio Castello M, Nastase SA, Haxby JV, Gobbini MI. Modeling naturalistic face processing in humans with deep convolutional neural networks. Proc Natl Acad Sci U S A 2023; 120:e2304085120. [PMID: 37847731 PMCID: PMC10614847 DOI: 10.1073/pnas.2304085120] [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: 03/16/2023] [Accepted: 09/11/2023] [Indexed: 10/19/2023] Open
Abstract
Deep convolutional neural networks (DCNNs) trained for face identification can rival and even exceed human-level performance. The ways in which the internal face representations in DCNNs relate to human cognitive representations and brain activity are not well understood. Nearly all previous studies focused on static face image processing with rapid display times and ignored the processing of naturalistic, dynamic information. To address this gap, we developed the largest naturalistic dynamic face stimulus set in human neuroimaging research (700+ naturalistic video clips of unfamiliar faces). We used this naturalistic dataset to compare representational geometries estimated from DCNNs, behavioral responses, and brain responses. We found that DCNN representational geometries were consistent across architectures, cognitive representational geometries were consistent across raters in a behavioral arrangement task, and neural representational geometries in face areas were consistent across brains. Representational geometries in late, fully connected DCNN layers, which are optimized for individuation, were much more weakly correlated with cognitive and neural geometries than were geometries in late-intermediate layers. The late-intermediate face-DCNN layers successfully matched cognitive representational geometries, as measured with a behavioral arrangement task that primarily reflected categorical attributes, and correlated with neural representational geometries in known face-selective topographies. Our study suggests that current DCNNs successfully capture neural cognitive processes for categorical attributes of faces but less accurately capture individuation and dynamic features.
Collapse
Affiliation(s)
- Guo Jiahui
- Center for Cognitive Neuroscience, Dartmouth College, Hanover, NH03755
| | - Ma Feilong
- Center for Cognitive Neuroscience, Dartmouth College, Hanover, NH03755
| | | | - Samuel A. Nastase
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ08544
| | - James V. Haxby
- Center for Cognitive Neuroscience, Dartmouth College, Hanover, NH03755
| | - M. Ida Gobbini
- Department of Medical and Surgical Sciences, University of Bologna, Bologna40138, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico, Istituto delle Scienze Neurologiche di Bologna, Bologna40139, Italia
| |
Collapse
|