A Locally Active Memristor Circuit and Its Application to a Coupled Hindmarsh-Rose Neuron Network

Liang SUN; Jia LUO; Yinhu QIAO

doi:10.11999/JEIT210026

Volume 43 Issue 11

Nov. 2021

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Liang SUN, Jia LUO, Yinhu QIAO. A Locally Active Memristor Circuit and Its Application to a Coupled Hindmarsh-Rose Neuron Network[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3374-3383. doi: 10.11999/JEIT210026

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Liang SUN, Jia LUO, Yinhu QIAO. A Locally Active Memristor Circuit and Its Application to a Coupled Hindmarsh-Rose Neuron Network[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3374-3383. doi: 10.11999/JEIT210026

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A Locally Active Memristor Circuit and Its Application to a Coupled Hindmarsh-Rose Neuron Network

doi: 10.11999/JEIT210026

Liang SUN^{1
,
,},
Jia LUO¹,
Yinhu QIAO²

1.
Department of Mechatronics and Automobilc, Chizhou Vocational and Technical College, Chizhou 247000, China
2.
College of Mechanical Engineering, Anhui Science and Technology University, Fengyang 233100, China

Funds: The Key Projects of Natural Science Research of Anhui Province (KJ2017A728, KJ2019A1138), The General Project of Teaching Research of Anhui Province (2016jyxm0714)

Received Date: 2021-01-08
Rev Recd Date: 2021-03-24

Available Online: 2021-04-21

Publish Date: 2021-11-23

Abstract

Abstract

In this paper, a new locally active memristor is proposed. The characteristics and local activity of the memristor are analyzed by using standard nonlinear theory and the circuit theoretic technique direct current loci. Furthermore, the locally active memristor is used to simulate a biological synapse, then a locally active memristive synaptic coupled Hindmarsh-Rose (HR) neuron network is constructed. Theoretical analysis and numerical simulation show that the memristive neural network can generate multiple firing patterns and complex chaotic behaviors under the influence of locally active memristive synapses. Finally, the equivalent analog circuit of the memristive synaptic coupled neuron network is designed, and the correctness of numerical simulation is verified by Power SIMulation (PSIM) circuit simulations.
- Locally active memristor,
- Hindmarsh-Rose (HR) neuron model,
- Firing pattern,
- Chaos,
- Analog circuit

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References(24)

References

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