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  5. Memristive Autapse-Coupled Neuron Model With External Electromagnetic Radiation Effects

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Article
English
2022

Memristive Autapse-Coupled Neuron Model With External Electromagnetic Radiation Effects

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English
2022
IEEE Transactions on Industrial Electronics
Vol 70 (11)
DOI: 10.1109/tie.2022.3225847

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Guanrong Chen
Guanrong Chen

City University Of Hong Kong

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Sen Zhang
Chunbiao Li
Jiahao Zheng
+3 more

Abstract

Thanks to their distinct synaptic plasticity and memory effects, memristors not only can mimic biological neuronal synapses but also can describe the influence of external electromagnetic radiation. This article proposes a novel memristive autapse-coupled neuron model (MACNM) using a locally active memristor as an autapse and simultaneously introducing a flux-controlled piecewise-nonlinear memristor to describe the external electromagnetic radiation. Theoretical analysis and numerical simulation results show that the MACNM is able to generate multiple numbers of grid multiscroll hidden attractors. Moreover, it can exhibit rich and complex hidden firing dynamics, including periodic spiking/bursting firing, chaotic spiking/bursting firing, as well as firing patterns transition. In particular, hidden firing multistability of five coexisting homogeneous chaotic bursting firing patterns with different offsets along the boosting route is discovered, giving raise to the interesting phenomenon of hidden homogeneous multistability. Finally, a circuit is designed to verify the physical feasibility of the abundant electrical activities in the proposed MACNM.

How to cite this publication

Sen Zhang, Chunbiao Li, Jiahao Zheng, Xiaoping Wang, Zhigang Zeng, Guanrong Chen (2022). Memristive Autapse-Coupled Neuron Model With External Electromagnetic Radiation Effects. IEEE Transactions on Industrial Electronics, 70(11), pp. 11618-11627, DOI: 10.1109/tie.2022.3225847.

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Publication Details

Type

Article

Year

2022

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

IEEE Transactions on Industrial Electronics

DOI

10.1109/tie.2022.3225847

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