Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit

被引：18

作者：

Zamani, AmirPasha ^{[1
]}

Novikov, Nikita ^{[2
,3
]}

Gutkin, Boris ^{[1
,2
,3
]}

机构：

[1] Natl Res Univ Higher Sch Econ, Ctr Cognit & Decis Making, Moscow 101000, Russia

[2] PSL Res Univ, Dept Cognit Studies, Grp Neural Theory, Ecole Normale Super, F-75005 Paris, France

[3] PSL Res Univ, Dept Cognit Studies, Ecole Normale Super, LNC2 INSERM U960, F-75005 Paris, France

来源：

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2020年 / 82卷

基金：

俄罗斯科学基金会;

关键词：

Persistent activity; Stochastic resonance; Inverse stochastic resonance; Mutual Information; NEURONAL-ACTIVITY; WORKING-MEMORY; NOISE; BEHAVIOR; REPRESENTATION; INHIBITION; CRAYFISH; BENEFITS; CORTEX; MODEL;

D O I：

10.1016/j.cnsns.2019.105024

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Stochastic Resonance (SR) is a well-known noise-induced phenomenon widely reported in dynamical systems with a threshold, while Inverse Stochastic Resonance (ISR) is an opposing phenomenon observed in the dynamical systems which exhibit bistability between a stable node and a stable limit cycle. This study shows a co-occurrence of SR and ISR, in a minimal circuit of synaptically coupled spiking neurons that is designed to show bistability between quiescence and a persistent firing mode. We identify noise, synaptic and intrinsic parameters ranges that allow for ISR. The minimal computational model, is investigated for a range of parameters, and our simulations indicate that the main features of SR, are the direct results of dynamical properties which lead to ISR. (C) 2019 The Authors. Published by Elsevier B.V.

引用

页数：20

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