Physical approach of a neuron model with memristive membranes DOI Open Access
Yitong Guo, Fuqiang Wu, Feifei Yang

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2023, Volume and Issue: 33(11)

Published: Nov. 1, 2023

The membrane potential of a neuron is mainly controlled by the gradient distribution electromagnetic field and concentration diversity between intracellular extracellular ions. Without considering thickness material property, electric characteristic cell described capacitive variable output voltage in an equivalent neural circuit. flexible property enables controllability endomembrane outer membrane, properties can be approached double membranes connected memristor In this work, two capacitors are used to mimic physical two-layer membranes, inductive channel added A biophysical obtained energy characteristic, dynamics, self-adaption discussed, respectively. Coherence resonance mode selection adaptive way detected under noisy excitation. average function effective predict appearance coherence resonance. An law proposed control parameters, external stimulus explained theoretical way. with memristive explains self-adaptive mechanism parameter changes transition from viewpoint.

Language: Английский

Memristive oscillator to memristive map, energy characteristic DOI
Yitong Guo, Jun Ma, Xiaofeng Zhang

et al.

Science China Technological Sciences, Journal Year: 2024, Volume and Issue: 67(5), P. 1567 - 1578

Published: April 22, 2024

Language: Английский

Citations

23

A memristive map neuron under noisy electric field DOI
Feifei Yang, Xinlin Song, Jun Ma

et al.

Chinese Journal of Physics, Journal Year: 2024, Volume and Issue: 91, P. 287 - 298

Published: July 25, 2024

Language: Английский

Citations

21

Collective dynamics of adaptive memristor synapse-cascaded neural networks based on energy flow DOI
Shaohua Zhang, Cong Wang, Hongli Zhang

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 186, P. 115191 - 115191

Published: June 28, 2024

Language: Английский

Citations

20

Energy and self-adaption in a memristive map neuron DOI
Junen Jia, Chunni Wang,

Xiaofeng Zhang

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 182, P. 114738 - 114738

Published: March 19, 2024

Language: Английский

Citations

19

Energy consumption in the synchronization of neurons coupled by electrical or memristive synapse DOI
Ying Xie, Xueqin Wang, Xuening Li

et al.

Chinese Journal of Physics, Journal Year: 2024, Volume and Issue: 90, P. 64 - 82

Published: May 22, 2024

Language: Английский

Citations

18

Synchronization behavior of memristive FitzHugh-Nagumo neurons in time-varying networks under external stimuli DOI
Weifang Huang, Yong Wu, Qianming Ding

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 192, P. 116001 - 116001

Published: Jan. 10, 2025

Language: Английский

Citations

3

Synchronization of complex networks with synapse regulated by energy difference DOI
Ying Xie, Xuening Li, Xueqin Wang

et al.

Nonlinear Dynamics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Language: Английский

Citations

2

Memristor initial-offset boosting and its bifurcation mechanism in a memristive FitzHugh-Nagumo neuron model with hidden dynamics DOI

Xiongjian Chen,

Ning Wang, Yiteng Wang

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 174, P. 113836 - 113836

Published: July 27, 2023

Language: Английский

Citations

42

Energy flow accounts for the adaptive property of functional synapses DOI Open Access
Fuqiang Wu, Yitong Guo, Jun Ma

et al.

Science China Technological Sciences, Journal Year: 2023, Volume and Issue: 66(11), P. 3139 - 3152

Published: Oct. 17, 2023

Language: Английский

Citations

41

Dynamics in a memristive neuron under an electromagnetic field DOI
Feifei Yang,

Guodong Ren,

Jun Tang

et al.

Nonlinear Dynamics, Journal Year: 2023, Volume and Issue: 111(23), P. 21917 - 21939

Published: Nov. 4, 2023

Language: Английский

Citations

38