Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity.

ABSTRACT: Patterns of endogenous activity in the brain reflect a stochastic exploration of the neuronal state space that is constrained by the underlying assembly organization of neurons. Yet it remains to be shown that this interplay between neurons and their assembly dynamics indeed suffices to generate whole-brain data statistics. Here we recorded the activity from ∼ 40, 000 neurons simultaneously in zebrafish larvae, and show that a data-driven generative model of neuron-assembly interactions can accurately reproduce the mean activity and pairwise correlation statistics of their spontaneous activity. This model, the compositional Restricted Boltzmann Machine (cRBM), unveils ∼200 neural assemblies, which compose neurophysiological circuits and whose various combinations form successive brain stat

SUBMITTER: van der Plas TL 

PROVIDER: S-EPMC9940913 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature