Estimate physical reliability in Hindmarsh-Rose neuron DOI
Ying Xie, Zhao Yao,

Guodong Ren

et al.

Physics Letters A, Journal Year: 2023, Volume and Issue: 464, P. 128693 - 128693

Published: Feb. 10, 2023

Language: Английский

A Review of Chaotic Systems Based on Memristive Hopfield Neural Networks DOI Creative Commons
Hairong Lin, Chunhua Wang, Fei Yu

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(6), P. 1369 - 1369

Published: March 11, 2023

Since the Lorenz chaotic system was discovered in 1963, construction of systems with complex dynamics has been a research hotspot field chaos. Recently, memristive Hopfield neural networks (MHNNs) offer great potential design complex, because their special network structures, hyperbolic tangent activation function, and memory property. Many based on MHNNs have proposed exhibit various dynamical behaviors, including hyperchaos, coexisting attractors, multistability, extreme multi-scroll multi-structure initial-offset behaviors. A comprehensive review MHNN-based become an urgent requirement. In this review, we first briefly introduce basic knowledge Hopfiled network, memristor, dynamics. Then, different modeling methods are analyzed discussed. Concurrently, pioneering works some recent important papers related to reviewed detail. Finally, survey progress for application scenarios. Some open problems visions future presented. We attempt provide reference resource both chaos researchers those outside who hope apply particular application.

Language: Английский

Citations

88
A memristive neuron and its adaptability to external electric field DOI
Feifei Yang, Ying Xu, Jun Ma

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2023, Volume and Issue: 33(2)

Published: Feb. 1, 2023

Connecting memristors into any neural circuit can enhance its potential controllability under external physical stimuli. Memristive current along a magnetic flux-controlled memristor estimate the effect of electromagnetic induction on circuits and neurons. Here, charge-controlled is incorporated one branch simple to an electric field. The field energy kept in each component respectively calculated, equivalent dimensionless function H obtained discern firing mode dependence from capacitive, inductive, memristive channels. HM channel occupies highest proportion Hamilton H, neurons present chaotic/periodic modes because large injection field, while bursting spiking behaviors emerge when HL holds maximal H. modified control this neuron accompanying with parameter shift shape deformation resulting accommodation channel. In presence noisy disturbance stochastic resonance induced neuron. Exposed stronger absorb more behave as signal source for shunting, negative new model address main properties biophysical neurons, it further be used explore collective self-organization networks flow disturbance.

Language: Английский

Citations

85
Dynamical analysis of an improved FitzHugh-Nagumo neuron model with multiplier-free implementation DOI
Quan Xu,

Xiongjian Chen,

Bei Chen

et al.

Nonlinear Dynamics, Journal Year: 2023, Volume and Issue: 111(9), P. 8737 - 8749

Published: Feb. 1, 2023

Language: Английский

Citations

68
Firing pattern in a memristive Hodgkin–Huxley circuit: Numerical simulation and analog circuit validation DOI
Quan Xu, Yiteng Wang, Bei Chen

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 172, P. 113627 - 113627

Published: June 7, 2023

Language: Английский

Citations

67
Initial-offset-boosted coexisting hyperchaos in a 2D memristive Chialvo neuron map and its application in image encryption DOI
Quan Xu, Liping Huang, Ning Wang

et al.

Nonlinear Dynamics, Journal Year: 2023, Volume and Issue: 111(21), P. 20447 - 20463

Published: Oct. 5, 2023

Language: Английский

Citations

54
A discrete memristive neuron and its adaptive dynamics DOI
Yanni Li, Mi Lv, Jun Ma

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(9), P. 7541 - 7553

Published: March 11, 2024

Language: Английский

Citations

33
Periodic and chaotic spiking behaviors in a simplified memristive Hodgkin-Huxley circuit DOI
Quan Xu, Yiteng Wang, Huagan Wu

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 179, P. 114458 - 114458

Published: Jan. 12, 2024

Language: Английский

Citations

30
Two simple memristive maps with adaptive energy regulation and digital signal process verification DOI
Feifei Yang, Lujie Ren, Jun Ma

et al.

Journal of Zhejiang University. Science A, Journal Year: 2024, Volume and Issue: 25(5), P. 382 - 394

Published: April 3, 2024

Language: Английский

Citations

28
A biophysical neuron model with double membranes DOI
Yanni Li, Jun Ma, Ying Xie

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(9), P. 7459 - 7475

Published: March 19, 2024

Language: Английский

Citations

27
Synchronization in scale-free neural networks under electromagnetic radiation DOI Open Access
Minglin Ma, Yaping Lu

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2024, Volume and Issue: 34(3)

Published: March 1, 2024

The functional networks of the human brain exhibit structural characteristics a scale-free topology, and these neural are exposed to electromagnetic environment. In this paper, we consider effects magnetic induction on synchronous activity in biological networks, effect is evaluated by four-stable discrete memristor. Based Rulkov neurons, network model established. Using initial value strength as control variables, numerical simulations carried out. research reveals that exhibits multiple coexisting behaviors, including resting state, period-1 bursting synchronization, asynchrony, chimera states, which dependent different values multi-stable addition, observe can either enhance or weaken synchronization when parameters neurons vary. This investigation significant importance understanding adaptability organisms their

Language: Английский

Citations

26