Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networks.

ABSTRACT: Repetitive activation of subpopulations of neurons leads to the formation of neuronal assemblies, which can guide learning and behavior. Recent technological advances have made the artificial induction of these assemblies feasible, yet how various parameters of induction can be optimized is not clear. Here, we studied this question in large-scale cortical network models with excitatory-inhibitory balance. We found that the background network in which assemblies are embedded can strongly modulate their dynamics and formation. Networks with dominant excitatory interactions enabled a fast formation of assemblies, but this was accompanied by recruitment of other non-perturbed neurons, leading to some degree of nonspecific induction. On the other hand, networks with strong excitatory-inhibitory

SUBMITTER: Sadeh S 

PROVIDER: S-EPMC8565910 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature