Memristor-based model of neuronal excitability and synaptic potentiation.

Autor: Kipelkin IM; Laboratory of Stochastic Multistable Systems, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.; Institute of Nanotechnologies Electronics and Equipment Engineering, Southern Federal University, Taganrog, Russia., Gerasimova SA; Laboratory of Stochastic Multistable Systems, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia., Belov AI; Laboratory of Stochastic Multistable Systems, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia., Guseinov DV; Laboratory of Stochastic Multistable Systems, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia., Kruglov AV; Laboratory of Stochastic Multistable Systems, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia., Serov DA; Laboratory of Stochastic Multistable Systems, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia., Talanov MO; Department of Engineering, University of Messina, Messina, Italy.; Institute for Artificial Intelligence R&D of Serbia, Department Smart Manufacturing, Novi Sad, Serbia., Mikhaylov AN; Laboratory of Stochastic Multistable Systems, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.; Institute of Nanotechnologies Electronics and Equipment Engineering, Southern Federal University, Taganrog, Russia., Kazantsev VB; Laboratory of Stochastic Multistable Systems, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.; Institute of Nanotechnologies Electronics and Equipment Engineering, Southern Federal University, Taganrog, Russia.

Publikováno v: Frontiers in neuroscience [Front Neurosci] 2024 Nov 18; Vol. 18, pp. 1456386. Date of Electronic Publication: 2024 Nov 18 (Print Publication: 2024).