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Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications
book

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

by Christos Volos, Viet-Thanh Pham
June 2021
Intermediate to advanced
568 pages
18h 20m
English
Academic Press
Content preview from Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Chapter 21: Multi-stable patterns coexisting in memristor synapse-coupled Hopfield neural network

Mo Chen; Cheng-jie Chen; Bo-cheng Bao; Quan Xu    School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China

Abstract

This chapter reports the multi-stable patterns coexisting in a Hopfield neural network (HNN) with three neurons under the action of electromagnetic induction current. A non-ideal memristor synapse is adopted to imitate the electromagnetic induction effect induced by the membrane potential difference between two adjacent neurons. Affected by the electromagnetic induction current, coexisting chaotic and periodic patterns with different topological structures or different locations are revealed under different ...

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Publisher Resources

ISBN: 9780128232026