Dynamic patterns of correlated activity in the prefrontal cortex encode information about social behavior.

ABSTRACT: New technologies make it possible to measure activity from many neurons simultaneously. One approach is to analyze simultaneously recorded neurons individually, then group together neurons which increase their activity during similar behaviors into an "ensemble." However, this notion of an ensemble ignores the ability of neurons to act collectively and encode and transmit information in ways that are not reflected by their individual activity levels. We used microendoscopic GCaMP imaging to measure prefrontal activity while mice were either alone or engaged in social interaction. We developed an approach that combines a neural network classifier and surrogate (shuffled) datasets to characterize how neurons synergistically transmit information about social behavior. Notably, unlike optimal

SUBMITTER: Frost NA 

PROVIDER: S-EPMC8118626 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature