Work

Synchronization in a network of map-based neurons with memristive synapse

Year: 2022

Type: article

Abstract: The synchronization of coupled neurons has been an important field of study in neuroscience. In this paper, the synchronization in coupled map-based neurons is studied. It is assumed that the neurons are coupled via a memristor. Firstly, the case of two-coupled neurons is investigated, and then two neurons are used as the units of a ring network. It is shown that the memristive coupling coefficient and the initial condition of the flux variable affect the synchronization of two neurons. By increasing the memristive coupling coefficient, multiple synchronous and asynchronous regions are observed. In the ring network, two neurons in each unit can become synchronous, but the whole network does not reach complete synchronization.

Source: The European Physical Journal Special Topics

DOI: 10.1140/epjs/s11734-022-00691-7

Authors: Zhen Wang, Huaigu Tian, Ondrej Krejcar, Hamidreza Namazi

Institutions: Xijing University, Institute of Technology and Business, University of Technology Malaysia, University of Hradec Králové, Monash University Malaysia

Language: English

Topic: Nonlinear Dynamics and Pattern Formation

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,390

Funders: Monash University, Education Department of Shaanxi Province