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Fenton AA. Remapping revisited: how the hippocampus represents different spaces. Nat Rev Neurosci 2024; 25:428-448. [PMID: 38714834 DOI: 10.1038/s41583-024-00817-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2024] [Indexed: 05/25/2024]
Abstract
The representation of distinct spaces by hippocampal place cells has been linked to changes in their place fields (the locations in the environment where the place cells discharge strongly), a phenomenon that has been termed 'remapping'. Remapping has been assumed to be accompanied by the reorganization of subsecond cofiring relationships among the place cells, potentially maximizing hippocampal information coding capacity. However, several observations challenge this standard view. For example, place cells exhibit mixed selectivity, encode non-positional variables, can have multiple place fields and exhibit unreliable discharge in fixed environments. Furthermore, recent evidence suggests that, when measured at subsecond timescales, the moment-to-moment cofiring of a pair of cells in one environment is remarkably similar in another environment, despite remapping. Here, I propose that remapping is a misnomer for the changes in place fields across environments and suggest instead that internally organized manifold representations of hippocampal activity are actively registered to different environments to enable navigation, promote memory and organize knowledge.
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Affiliation(s)
- André A Fenton
- Center for Neural Science, New York University, New York, NY, USA.
- Neuroscience Institute at the NYU Langone Medical Center, New York, NY, USA.
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2
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Sylte OC, Muysers H, Chen HL, Bartos M, Sauer JF. Neuronal tuning to threat exposure remains stable in the mouse prefrontal cortex over multiple days. PLoS Biol 2024; 22:e3002475. [PMID: 38206890 PMCID: PMC10783789 DOI: 10.1371/journal.pbio.3002475] [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: 06/28/2023] [Accepted: 12/19/2023] [Indexed: 01/13/2024] Open
Abstract
Intense threat elicits action in the form of active and passive coping. The medial prefrontal cortex (mPFC) executes top-level control over the selection of threat coping strategies, but the dynamics of mPFC activity upon continuing threat encounters remain unexplored. Here, we used 1-photon calcium imaging in mice to probe the activity of prefrontal pyramidal cells during repeated exposure to intense threat in a tail suspension (TS) paradigm. A subset of prefrontal neurons displayed selective activation during TS, which was stably maintained over days. During threat, neurons showed specific tuning to active or passive coping. These responses were unrelated to general motion tuning and persisted over days. Moreover, the neural manifold traversed by low-dimensional population activity remained stable over subsequent days of TS exposure and was preserved across individuals. These data thus reveal a specific, temporally, and interindividually conserved repertoire of prefrontal tuning to behavioral responses under threat.
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Affiliation(s)
- Ole Christian Sylte
- University of Freiburg, Medical Faculty, Institute of Physiology I, Freiburg, Germany
- University of Freiburg, Faculty of Biology, Freiburg, Germany
| | - Hannah Muysers
- University of Freiburg, Medical Faculty, Institute of Physiology I, Freiburg, Germany
- University of Freiburg, Faculty of Biology, Freiburg, Germany
| | - Hung-Ling Chen
- University of Freiburg, Medical Faculty, Institute of Physiology I, Freiburg, Germany
| | - Marlene Bartos
- University of Freiburg, Medical Faculty, Institute of Physiology I, Freiburg, Germany
| | - Jonas-Frederic Sauer
- University of Freiburg, Medical Faculty, Institute of Physiology I, Freiburg, Germany
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3
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Rizzoglio F, Altan E, Ma X, Bodkin KL, Dekleva BM, Solla SA, Kennedy A, Miller LE. From monkeys to humans: observation-basedEMGbrain-computer interface decoders for humans with paralysis. J Neural Eng 2023; 20:056040. [PMID: 37844567 PMCID: PMC10618714 DOI: 10.1088/1741-2552/ad038e] [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: 07/05/2023] [Revised: 10/02/2023] [Accepted: 10/16/2023] [Indexed: 10/18/2023]
Abstract
Objective. Intracortical brain-computer interfaces (iBCIs) aim to enable individuals with paralysis to control the movement of virtual limbs and robotic arms. Because patients' paralysis prevents training a direct neural activity to limb movement decoder, most iBCIs rely on 'observation-based' decoding in which the patient watches a moving cursor while mentally envisioning making the movement. However, this reliance on observed target motion for decoder development precludes its application to the prediction of unobservable motor output like muscle activity. Here, we ask whether recordings of muscle activity from a surrogate individual performing the same movement as the iBCI patient can be used as target for an iBCI decoder.Approach. We test two possible approaches, each using data from a human iBCI user and a monkey, both performing similar motor actions. In one approach, we trained a decoder to predict the electromyographic (EMG) activity of a monkey from neural signals recorded from a human. We then contrast this to a second approach, based on the hypothesis that the low-dimensional 'latent' neural representations of motor behavior, known to be preserved across time for a given behavior, might also be preserved across individuals. We 'transferred' an EMG decoder trained solely on monkey data to the human iBCI user after using Canonical Correlation Analysis to align the human latent signals to those of the monkey.Main results. We found that both direct and transfer decoding approaches allowed accurate EMG predictions between two monkeys and from a monkey to a human.Significance. Our findings suggest that these latent representations of behavior are consistent across animals and even primate species. These methods are an important initial step in the development of iBCI decoders that generate EMG predictions that could serve as signals for a biomimetic decoder controlling motion and impedance of a prosthetic arm, or even muscle force directly through functional electrical stimulation.
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Affiliation(s)
- Fabio Rizzoglio
- Department of Neuroscience, Northwestern University, Chicago, IL, United States of America
| | - Ege Altan
- Department of Neuroscience, Northwestern University, Chicago, IL, United States of America
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States of America
| | - Xuan Ma
- Department of Neuroscience, Northwestern University, Chicago, IL, United States of America
| | - Kevin L Bodkin
- Department of Neuroscience, Northwestern University, Chicago, IL, United States of America
| | - Brian M Dekleva
- Rehab Neural Engineering Labs, Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Sara A Solla
- Department of Neuroscience, Northwestern University, Chicago, IL, United States of America
- Department of Physics and Astronomy, Northwestern University, Evanston, IL, United States of America
| | - Ann Kennedy
- Department of Neuroscience, Northwestern University, Chicago, IL, United States of America
| | - Lee E Miller
- Department of Neuroscience, Northwestern University, Chicago, IL, United States of America
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States of America
- Shirley Ryan AbilityLab, Chicago, IL, United States of America
- Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States of America
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4
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Safaie M, Chang JC, Park J, Miller LE, Dudman JT, Perich MG, Gallego JA. Preserved neural dynamics across animals performing similar behaviour. Nature 2023; 623:765-771. [PMID: 37938772 PMCID: PMC10665198 DOI: 10.1038/s41586-023-06714-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 10/04/2023] [Indexed: 11/09/2023]
Abstract
Animals of the same species exhibit similar behaviours that are advantageously adapted to their body and environment. These behaviours are shaped at the species level by selection pressures over evolutionary timescales. Yet, it remains unclear how these common behavioural adaptations emerge from the idiosyncratic neural circuitry of each individual. The overall organization of neural circuits is preserved across individuals1 because of their common evolutionarily specified developmental programme2-4. Such organization at the circuit level may constrain neural activity5-8, leading to low-dimensional latent dynamics across the neural population9-11. Accordingly, here we suggested that the shared circuit-level constraints within a species would lead to suitably preserved latent dynamics across individuals. We analysed recordings of neural populations from monkey and mouse motor cortex to demonstrate that neural dynamics in individuals from the same species are surprisingly preserved when they perform similar behaviour. Neural population dynamics were also preserved when animals consciously planned future movements without overt behaviour12 and enabled the decoding of planned and ongoing movement across different individuals. Furthermore, we found that preserved neural dynamics extend beyond cortical regions to the dorsal striatum, an evolutionarily older structure13,14. Finally, we used neural network models to demonstrate that behavioural similarity is necessary but not sufficient for this preservation. We posit that these emergent dynamics result from evolutionary constraints on brain development and thus reflect fundamental properties of the neural basis of behaviour.
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Affiliation(s)
- Mostafa Safaie
- Department of Bioengineering, Imperial College London, London, UK
| | - Joanna C Chang
- Department of Bioengineering, Imperial College London, London, UK
| | - Junchol Park
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, TX, USA
| | - Lee E Miller
- Departments of Physiology, Biomedical Engineering and Physical Medicine and Rehabilitation, Northwestern University and Shirley Ryan Ability Lab, Chicago, IL, USA
| | - Joshua T Dudman
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, TX, USA
| | - Matthew G Perich
- Département de Neurosciences, Faculté de Médecine, Université de Montréal, Montreal, Quebec, Canada.
- Mila, Quebec Artificial Intelligence Institute, Montreal, Quebec, Canada.
| | - Juan A Gallego
- Department of Bioengineering, Imperial College London, London, UK.
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5
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Srinivasan A, Srinivasan A, Riceberg JS, Goodman MR, Guise KG, Shapiro ML. Hippocampal and medial prefrontal ensemble spiking represents episodes and rules in similar task spaces. Cell Rep 2023; 42:113296. [PMID: 37858467 PMCID: PMC10842596 DOI: 10.1016/j.celrep.2023.113296] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/22/2023] [Accepted: 10/03/2023] [Indexed: 10/21/2023] Open
Abstract
Episodic memory requires the hippocampus and prefrontal cortex to guide decisions by representing events in spatial, temporal, and personal contexts. Both brain regions have been described by cognitive theories that represent events in context as locations in maps or memory spaces. We query whether ensemble spiking in these regions described spatial structures as rats performed memory tasks. From each ensemble, we construct a state-space with each point defined by the coordinated spiking of single and pairs of units in 125-ms bins and investigate how state-space locations discriminate task features. Trajectories through state-spaces correspond with behavioral episodes framed by spatial, temporal, and internal contexts. Both hippocampal and prefrontal ensembles distinguish maze locations, task intervals, and goals by distances between state-space locations, consistent with cognitive mapping and relational memory space theories of episodic memory. Prefrontal modulation of hippocampal activity may guide choices by directing memory representations toward appropriate state-space goal locations.
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Affiliation(s)
- Aditya Srinivasan
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208, USA.
| | - Arvind Srinivasan
- College of Health Sciences, California Northstate University, Rancho Cordova, CA 95670, USA
| | - Justin S Riceberg
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, Hess Center for Science and Medicine, New York, NY 10029, USA
| | - Michael R Goodman
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208, USA
| | - Kevin G Guise
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, Hess Center for Science and Medicine, New York, NY 10029, USA
| | - Matthew L Shapiro
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208, USA.
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Melbaum S, Russo E, Eriksson D, Schneider A, Durstewitz D, Brox T, Diester I. Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding. Nat Commun 2022; 13:7420. [PMID: 36456557 PMCID: PMC9715555 DOI: 10.1038/s41467-022-35115-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 11/17/2022] [Indexed: 12/04/2022] Open
Abstract
Our knowledge about neuronal activity in the sensorimotor cortex relies primarily on stereotyped movements that are strictly controlled in experimental settings. It remains unclear how results can be carried over to less constrained behavior like that of freely moving subjects. Toward this goal, we developed a self-paced behavioral paradigm that encouraged rats to engage in different movement types. We employed bilateral electrophysiological recordings across the entire sensorimotor cortex and simultaneous paw tracking. These techniques revealed behavioral coupling of neurons with lateralization and an anterior-posterior gradient from the premotor to the primary sensory cortex. The structure of population activity patterns was conserved across animals despite the severe under-sampling of the total number of neurons and variations in electrode positions across individuals. We demonstrated cross-subject and cross-session generalization in a decoding task through alignments of low-dimensional neural manifolds, providing evidence of a conserved neuronal code.
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Affiliation(s)
- Svenja Melbaum
- grid.5963.9Computer Vision Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany ,grid.5963.9IMBIT//BrainLinks-BrainTools, University of Freiburg, Georges-Köhler-Allee 201, 79110 Freiburg, Germany
| | - Eleonora Russo
- grid.410607.4Department of Psychiatry and Psychotherapy, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany ,grid.7700.00000 0001 2190 4373Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159 Mannheim, Germany
| | - David Eriksson
- grid.5963.9IMBIT//BrainLinks-BrainTools, University of Freiburg, Georges-Köhler-Allee 201, 79110 Freiburg, Germany ,grid.5963.9Optophysiology Lab, Faculty of Biology, University of Freiburg, 79110 Freiburg, Germany
| | - Artur Schneider
- grid.5963.9IMBIT//BrainLinks-BrainTools, University of Freiburg, Georges-Köhler-Allee 201, 79110 Freiburg, Germany ,grid.5963.9Optophysiology Lab, Faculty of Biology, University of Freiburg, 79110 Freiburg, Germany
| | - Daniel Durstewitz
- grid.7700.00000 0001 2190 4373Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159 Mannheim, Germany
| | - Thomas Brox
- grid.5963.9Computer Vision Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany ,grid.5963.9IMBIT//BrainLinks-BrainTools, University of Freiburg, Georges-Köhler-Allee 201, 79110 Freiburg, Germany
| | - Ilka Diester
- grid.5963.9IMBIT//BrainLinks-BrainTools, University of Freiburg, Georges-Köhler-Allee 201, 79110 Freiburg, Germany ,grid.5963.9Optophysiology Lab, Faculty of Biology, University of Freiburg, 79110 Freiburg, Germany ,grid.5963.9Bernstein Center Freiburg, University of Freiburg, 79104 Freiburg, Germany
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Stella F, Treves A. Hyper-alignment: Great mice think alike. Curr Biol 2021; 31:R1138-R1140. [PMID: 34637718 DOI: 10.1016/j.cub.2021.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Can the neural activity expressing the same mental processes in two different individuals be somehow aligned? Recent evidence suggests that in some cases it can, in mice, at least when they think about space, but possibly even when conjuring up something more abstract.
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Affiliation(s)
- Federico Stella
- Donders Institute for Brain Cognition and Behaviour, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands.
| | - Alessandro Treves
- SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy.
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