Activity Stabilization in a Population Model of Working Memory by Sinusoidal and Noisy Inputs.

ABSTRACT: According to mechanistic theories of working memory (WM), information is retained as stimulus-dependent persistent spiking activity of cortical neural networks. Yet, how this activity is related to changes in the oscillatory profile observed during WM tasks remains a largely open issue. We explore joint effects of input gamma-band oscillations and noise on the dynamics of several firing rate models of WM. The considered models have a metastable active regime, i.e., they demonstrate long-lasting transient post-stimulus firing rate elevation. We start from a single excitatory-inhibitory circuit and demonstrate that either gamma-band or noise input could stabilize the active regime, thus supporting WM retention. We then consider a system of two circuits with excitatory intercoupling. We find

SUBMITTER: Novikov N 

PROVIDER: S-EPMC8096914 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature