Mid-lateral cerebellar complex spikes encode multiple independent reward-related signals during reinforcement learning

Naveen Sendhilnathan (), Anna Ipata and Michael E. Goldberg ()
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Naveen Sendhilnathan: Columbia University
Anna Ipata: Columbia University
Michael E. Goldberg: Columbia University

Nature Communications, 2021, vol. 12, issue 1, 1-10

Abstract: Abstract Although the cerebellum has been implicated in simple reward-based learning recently, the role of complex spikes (CS) and simple spikes (SS), their interaction and their relationship to complex reinforcement learning and decision making is still unclear. Here we show that in a context where a non-human primate learned to make novel visuomotor associations, classifying CS responses based on their SS properties revealed distinct cell-type specific encoding of the probability of failure after the stimulus onset and the non-human primate’s decision. In a different context, CS from the same cerebellar area also responded in a cell-type and learning independent manner to the stimulus that signaled the beginning of the trial. Both types of CS signals were independent of changes in any motor kinematics and were unlikely to instruct the concurrent SS activity through an error based mechanism, suggesting the presence of context dependent, flexible, multiple independent channels of neural encoding by CS and SS. This diversity in neural information encoding in the mid-lateral cerebellum, depending on the context and learning state, is well suited to promote exploration and acquisition of wide range of cognitive behaviors that entail flexible stimulus-action-reward relationships but not necessarily motor learning.

Date: 2021
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DOI: 10.1038/s41467-021-26338-0

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