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

Amirpasha Zamani , Nikita Novikov , Boris Gutkin (1)

1 LNC2 - Laboratoire de Neurosciences Cognitives & Computationnelles

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.

Domaines: Sciences du Vivant [q-bio]; Neurosciences [q-bio.NC]

Amirpasha Zamani, Nikita Novikov, Boris Gutkin. Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit. Communications in Nonlinear Science and Numerical Simulation, 2020, 82, pp.105024. ⟨10.1016/j.cnsns.2019.105024⟩. ⟨hal-02355199⟩