A dynamic subset of network interactions underlies tuning to natural movements in marmoset sensorimotor cortex

Dalton D. Moore, Jason N. MacLean, Jeffrey D. Walker and Nicholas G. Hatsopoulos ()
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Dalton D. Moore: University of Chicago
Jason N. MacLean: University of Chicago
Jeffrey D. Walker: University of Chicago
Nicholas G. Hatsopoulos: University of Chicago

Nature Communications, 2024, vol. 15, issue 1, 1-16

Abstract: Abstract Mechanisms of computation in sensorimotor cortex must be flexible and robust to support skilled motor behavior. Patterns of neuronal coactivity emerge as a result of computational processes. Pairwise spike-time statistical relationships, across the population, can be summarized as a functional network (FN) which retains single-unit properties. We record populations of single-unit neural activity in marmoset forelimb sensorimotor cortex during prey capture and spontaneous behavior and use an encoding model incorporating kinematic trajectories and network features to predict single-unit activity during forelimb movements. The contribution of network features depends on structured connectivity within strongly connected functional groups. We identify a context-specific functional group that is highly tuned to kinematics and reorganizes its connectivity between spontaneous and prey capture movements. In the remaining context-invariant group, interactions are comparatively stable across behaviors and units are less tuned to kinematics. This suggests different roles in producing natural forelimb movements and contextualizes single-unit tuning properties within population dynamics.

Date: 2024
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DOI: 10.1038/s41467-024-54343-6

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