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Reorganization between preparatory and movement population responses in motor cortex

Author

Listed:
  • Gamaleldin F. Elsayed

    (Center for Theoretical Neuroscience, Columbia University
    Columbia University Medical Center)

  • Antonio H. Lara

    (Columbia University Medical Center)

  • Matthew T. Kaufman

    (Cold Spring Harbor Laboratory)

  • Mark M. Churchland

    (Columbia University Medical Center
    Grossman Center for the Statistics of Mind, Columbia University
    David Mahoney Center for Brain and Behavior Research, Columbia University Medical Center
    Kavli Institute for Brain Science, Columbia University Medical Center)

  • John P. Cunningham

    (Center for Theoretical Neuroscience, Columbia University
    Grossman Center for the Statistics of Mind, Columbia University
    Columbia University)

Abstract

Neural populations can change the computation they perform on very short timescales. Although such flexibility is common, the underlying computational strategies at the population level remain unknown. To address this gap, we examined population responses in motor cortex during reach preparation and movement. We found that there exist exclusive and orthogonal population-level subspaces dedicated to preparatory and movement computations. This orthogonality yielded a reorganization in response correlations: the set of neurons with shared response properties changed completely between preparation and movement. Thus, the same neural population acts, at different times, as two separate circuits with very different properties. This finding is not predicted by existing motor cortical models, which predict overlapping preparation-related and movement-related subspaces. Despite orthogonality, responses in the preparatory subspace were lawfully related to subsequent responses in the movement subspace. These results reveal a population-level strategy for performing separate but linked computations.

Suggested Citation

  • Gamaleldin F. Elsayed & Antonio H. Lara & Matthew T. Kaufman & Mark M. Churchland & John P. Cunningham, 2016. "Reorganization between preparatory and movement population responses in motor cortex," Nature Communications, Nature, vol. 7(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13239
    DOI: 10.1038/ncomms13239
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    Cited by:

    1. Joanna C. Chang & Matthew G. Perich & Lee E. Miller & Juan A. Gallego & Claudia Clopath, 2024. "De novo motor learning creates structure in neural activity that shapes adaptation," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. Nir Even-Chen & Blue Sheffer & Saurabh Vyas & Stephen I Ryu & Krishna V Shenoy, 2019. "Structure and variability of delay activity in premotor cortex," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-17, February.
    3. Vahid Rostami & Thomas Rost & Felix Johannes Schmitt & Sacha Jennifer Albada & Alexa Riehle & Martin Paul Nawrot, 2024. "Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    4. Alberto Lazari & Piergiorgio Salvan & Lennart Verhagen & Michiel Cottaar & Daniel Papp & Olof Jens van der Werf & Bronwyn Gavine & James Kolasinski & Matthew Webster & Charlotte J. Stagg & Matthew F. , 2022. "A macroscopic link between interhemispheric tract myelination and cortico-cortical interactions during action reprogramming," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. Javier G. Orlandi & Mohammad Abdolrahmani & Ryo Aoki & Dmitry R. Lyamzin & Andrea Benucci, 2023. "Distributed context-dependent choice information in mouse posterior cortex," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Tanner C Dixon & Christina M Merrick & Joni D Wallis & Richard B Ivry & Jose M Carmena, 2021. "Hybrid dedicated and distributed coding in PMd/M1 provides separation and interaction of bilateral arm signals," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-35, November.
    7. Akshay Markanday & Sungho Hong & Junya Inoue & Erik Schutter & Peter Thier, 2023. "Multidimensional cerebellar computations for flexible kinematic control of movements," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    8. Atsushi Kikumoto & Apoorva Bhandari & Kazuhisa Shibata & David Badre, 2024. "A transient high-dimensional geometry affords stable conjunctive subspaces for efficient action selection," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    9. Pierre O. Boucher & Tian Wang & Laura Carceroni & Gary Kane & Krishna V. Shenoy & Chandramouli Chandrasekaran, 2023. "Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex," Nature Communications, Nature, vol. 14(1), pages 1-28, December.
    10. David A. Sabatini & Matthew T. Kaufman, 2024. "Reach-dependent reorientation of rotational dynamics in motor cortex," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    11. Eric A. Kirk & Keenan T. Hope & Samuel J. Sober & Britton A. Sauerbrei, 2024. "An output-null signature of inertial load in motor cortex," Nature Communications, Nature, vol. 15(1), pages 1-20, December.

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