https://doi.org/10.1140/epjs/s11734-022-00691-7
Regular Article
Synchronization in a network of map-based neurons with memristive synapse
1
Xi’an Key Laboratory of Human-Machine Integration and Control Technology for Intelligent Rehabilitation, School of Computer Science, Xijing University, 710123, Xi’an, People’s Republic of China
2
Xi’an Key Laboratory of Advanced Photo-Electronics Materials and Energy Conversion Device, School of Electronic Information, Xijing University, 710123, Xi’an, People’s Republic of China
3
Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Hradec Králové, Czechia
4
Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia
5
Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
6
School of Engineering, Monash University, Subang Jaya, Selangor, Malaysia
Received:
15
August
2022
Accepted:
27
September
2022
Published online:
25
October
2022
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.
© The Author(s) 2022
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