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Cortical preparatory activity indexes learned motor memories

Xulu Sun (), Daniel J. O’Shea, Matthew D. Golub, Eric M. Trautmann, Saurabh Vyas, Stephen I. Ryu and Krishna V. Shenoy ()
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Xulu Sun: Stanford University
Daniel J. O’Shea: Stanford University
Matthew D. Golub: Stanford University
Eric M. Trautmann: Stanford University
Saurabh Vyas: Stanford University
Stephen I. Ryu: Stanford University
Krishna V. Shenoy: Stanford University

Nature, 2022, vol. 602, issue 7896, 274-279

Abstract: Abstract The brain’s remarkable ability to learn and execute various motor behaviours harnesses the capacity of neural populations to generate a variety of activity patterns. Here we explore systematic changes in preparatory activity in motor cortex that accompany motor learning. We trained rhesus monkeys to learn an arm-reaching task1 in a curl force field that elicited new muscle forces for some, but not all, movement directions2,3. We found that in a neural subspace predictive of hand forces, changes in preparatory activity tracked the learned behavioural modifications and reassociated4 existing activity patterns with updated movements. Along a neural population dimension orthogonal to the force-predictive subspace, we discovered that preparatory activity shifted uniformly for all movement directions, including those unaltered by learning. During a washout period when the curl field was removed, preparatory activity gradually reverted in the force-predictive subspace, but the uniform shift persisted. These persistent preparatory activity patterns may retain a motor memory of the learned field5,6 and support accelerated relearning of the same curl field. When a set of distinct curl fields was learned in sequence, we observed a corresponding set of field-specific uniform shifts which separated the associated motor memories in the neural state space7–9. The precise geometry of these uniform shifts in preparatory activity could serve to index motor memories, facilitating the acquisition, retention and retrieval of a broad motor repertoire.

Date: 2022
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DOI: 10.1038/s41586-021-04329-x

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