Flexible control of representational dynamics in a disinhibition-based model of decision-making.

ABSTRACT: Inhibition is crucial for brain function, regulating network activity by balancing excitation and implementing gain control. Recent evidence suggests that beyond simply inhibiting excitatory activity, inhibitory neurons can also shape circuit function through disinhibition. While disinhibitory circuit motifs have been implicated in cognitive processes, including learning, attentional selection, and input gating, the role of disinhibition is largely unexplored in the study of decision-making. Here, we show that disinhibition provides a simple circuit motif for fast, dynamic control of network state and function. This dynamic control allows a disinhibition-based decision model to reproduce both value normalization and winner-take-all dynamics, the two central features of neurobiological deci

SUBMITTER: Shen B 

PROVIDER: S-EPMC10313320 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature