Coexistence and control of firing patterns in a heterogeneous neuronal network coupled by memristive synapses DOI Creative Commons
Jinyi Wu, Zhijun Li, Yong‐Hong Lan

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 9, 2024

Abstract To simulate the complex electrical activity exhibited in biological neuronal networks more accurately, a heterogeneous neuron-coupled network is established this study. This consists of an Hindmarsh-Rose (HR) neuron and tri-cell Hopfield Neural Network (HNN) interconnected via three memristive synapses. The dynamical behaviors coupled are investigated by means bifurcation diagram, Lyapunov exponent, time series phase portrait. firing pattern transitions also revealed as synaptic coupling strengths vary. Furthermore, coexisting patterns, including period-1, period-2, period-4 chaotic firing, observed manipulating initial conditions. Especially, linear augmentation strategy introduced to target desired pattern. Both numerical simulations hardware experimental tests demonstrate that method can not only select but promote synchronous activities within network.

Язык: Английский

A memristive neuron with nonlinear membranes and network patterns DOI

Binchi Wang,

Yaquan Wang, Xiaofeng Zhang

и другие.

Physics Letters A, Год журнала: 2025, Номер 540, С. 130390 - 130390

Опубликована: Фев. 22, 2025

Язык: Английский

Процитировано

1

Coexistence and control of firing patterns in a heterogeneous neuron-coupled network by memristive synapses DOI Creative Commons
Jinyi Wu,

Zhijun Li,

Yong‐Hong Lan

и другие.

Nonlinear Dynamics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 8, 2025

Язык: Английский

Процитировано

1

Jointed pendulums driven by a neural circuit, electromechanical arm model approach DOI
Yitong Guo, Chunni Wang, Jun Ma

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 189, С. 115739 - 115739

Опубликована: Ноя. 18, 2024

Процитировано

5

Model approach of artificial muscle and leg movements DOI
Yitong Guo, Chunni Wang, Jun Ma

и другие.

Physics Letters A, Год журнала: 2024, Номер 529, С. 130069 - 130069

Опубликована: Ноя. 20, 2024

Язык: Английский

Процитировано

4

Edge-of-Chaos Kernel and Dynamic Analysis of a Hopfield Neural Network with a Locally Active Memristor DOI Open Access
Li Zhang, Yike Ma, R Jiang

и другие.

Electronics, Год журнала: 2025, Номер 14(4), С. 766 - 766

Опубликована: Фев. 16, 2025

Locally active memristors with an Edge-of-Chaos kernel (EOCK) represent a significant advancement in the simulation of neuromorphic dynamics. However, current research on EOCK remains at circuit level, without further analysis their feasibility. In this context, we designed memristor and installed it third-order circuit, where showed local activity stability under defined voltage inductance parameters. This behavior ensured that by varying input inductance, could effectively simulate various neural activities, including inhibitory postsynaptic potential chaotic waveforms. By subsequently integrating into Hopfield network (HNN) framework substituting self-coupling weight, observed rich spectrum dynamic behaviors, rare phenomenon antimonotonicity bubble bifurcation. Finally, used hardware circuits to realize these generated phenomena, confirming feasibility memristor. introducing HNN studying its implementation, study provides theoretical insights empirical basis for developing systems replicate complexity human brain functions. reference development application future.

Язык: Английский

Процитировано

0

Neurodynamic behavior of hippocampal CA1 neuron model driven by external current stimulation DOI
Guizhi Xu, Huan Liu, Youxi Wu

и другие.

Chinese Journal of Physics, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Multiple generalized stability of nonlinear delayed systems subject to impulsive disturbance DOI
Fanghai Zhang,

C. Zhan

Cognitive Neurodynamics, Год журнала: 2025, Номер 19(1)

Опубликована: Апрель 19, 2025

Язык: Английский

Процитировано

0

Coherence resonance, parameter estimation and self-regulation in a thermalsensitive neuron DOI
Qun Guo,

Ping Zhou,

Xiaofeng Zhang

и другие.

Cognitive Neurodynamics, Год журнала: 2025, Номер 19(1)

Опубликована: Май 19, 2025

Язык: Английский

Процитировано

0

Exponential synchronization of fractional order fuzzy memristor neural networks with time-varying delays and impulses DOI Creative Commons
Yangtao Wang, Kelin Li

Mathematical Modelling and Control, Год журнала: 2025, Номер 5(2), С. 164 - 179

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Coherence resonance, parameter estimation and self-regulation in a thermal sensitive neuron DOI Creative Commons
Qun Guo,

Ping Zhou,

Xiaofeng Zhang

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 5, 2024

Abstract In this work, two capacitors connected by a thermistor are used to explore the electrical property of double-layer membrane in neuron, which is sensitive changes temperature and capacitive variables measure potentials for inner outer membrane. The circuit characteristic energy definition neural its equivalent neuron model oscillator form clarified from physical aspect. Considering shape deformation cell under external stimuli injection, intrinsic parameters can be controlled with adaptive growth flow, an control law proposed regulate firing modes accompanying shift. presence noisy excitation, coherence resonance induced confirmed taming noise intensity carefully. distributions CV (coefficient variability) average value < H > vs. provide feasible way predict even stochastic activities. Adaptive parameter observers designed identify unknown model. Our results helpful design thermal-sensitive artificial injecting thermosensitive medium between capacitor plates.

Язык: Английский

Процитировано

0