Deviance detection via competitive inhibition between local neocortical ensembles.

ABSTRACT: The process by which neocortical neurons and circuits amplify their response to an unexpected change in stimulus, typically referred to as deviance detection (DD), has traditionally been thought to be the product of specialized cell types and/or routing from distinct brain areas. Here, we explore a different theory, whereby DD emerges intrinsically from local network-level interactions within a neocortical column. We propose that deviance-driven neural dynamics are generated by ensembles of excitatory and inhibitory neurons that have a fundamental inhibitory connectivity motif: competitive inhibition between reciprocally connected neural representations under modulation from feed-forward selective (dis)inhibition. Implementing this motif in two computational models with different levels of

SUBMITTER: Thorpe RV 

PROVIDER: S-EPMC11741386 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature