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

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

SUBMITTER: Moore DD 

PROVIDER: S-EPMC11615226 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature