Modeling Working Memory in a Spiking Neuron Network Accompanied by Astrocytes.

ABSTRACT: We propose a novel biologically plausible computational model of working memory (WM) implemented by a spiking neuron network (SNN) interacting with a network of astrocytes. The SNN is modeled by synaptically coupled Izhikevich neurons with a non-specific architecture connection topology. Astrocytes generating calcium signals are connected by local gap junction diffusive couplings and interact with neurons via chemicals diffused in the extracellular space. Calcium elevations occur in response to the increased concentration of the neurotransmitter released by spiking neurons when a group of them fire coherently. In turn, gliotransmitters are released by activated astrocytes modulating the strength of the synaptic connections in the corresponding neuronal group. Input information is encoded a

SUBMITTER: Gordleeva SY 

PROVIDER: S-EPMC8044545 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature