A neural circuit state change underlying skilled movements
Author(s) -
Mark J. Wagner,
Joan Savall,
Oscar Hernandez,
Gabriel C. Mel,
Hakan Inan,
Oleg Rumyantsev,
Jérôme Lecoq,
Tony Hyun Kim,
Jin Zhong Li,
Charu Ramakrishnan,
Karl Deisseroth,
Liqun Luo,
Surya Ganguli,
Mark J. Schnitzer
Publication year - 2021
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2021.06.001
Subject(s) - optogenetics , neuroscience , biology , forelimb , cerebellum , biological neural network , synchronization (alternating current) , spiking neural network , kinematics , motor learning , artificial neural network , computer science , physics , artificial intelligence , computer network , channel (broadcasting) , classical mechanics
In motor neuroscience, state changes are hypothesized to time-lock neural assemblies coordinating complex movements, but evidence for this remains slender. We tested whether a discrete change from more autonomous to coherent spiking underlies skilled movement by imaging cerebellar Purkinje neuron complex spikes in mice making targeted forelimb-reaches. As mice learned the task, millimeter-scale spatiotemporally coherent spiking emerged ipsilateral to the reaching forelimb, and consistent neural synchronization became predictive of kinematic stereotypy. Before reach onset, spiking switched from more disordered to internally time-locked concerted spiking and silence. Optogenetic manipulations of cerebellar feedback to the inferior olive bi-directionally modulated neural synchronization and reaching direction. A simple model explained the reorganization of spiking during reaching as reflecting a discrete bifurcation in olivary network dynamics. These findings argue that to prepare learned movements, olivo-cerebellar circuits enter a self-regulated, synchronized state promoting motor coordination. State changes facilitating behavioral transitions may generalize across neural systems.
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