Pattern transition and bifurcation analysis of ELU-type memristive FitzHugh-Nagumo neuron DOI
Wu Xiao, Fuhong Min, Jiakai Lu

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 191, С. 115915 - 115915

Опубликована: Дек. 21, 2024

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

Dynamical and collective behaviors of enhanced photosensitive neuron model with memristor DOI
Xiaoni Wang,

Bingfang Li

The European Physical Journal Special Topics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 25, 2025

Язык: Английский

Процитировано

1

Synchronization in a neuronal network with delayed hybrid synapses DOI

Xiaojian Xi,

Rui Yang, Peijun Zhang

и другие.

The European Physical Journal Special Topics, Год журнала: 2025, Номер unknown

Опубликована: Май 9, 2025

Язык: Английский

Процитировано

1

Synchronization levels in EEG connectivity during cognitive workloads while driving DOI
Nafise Naseri, Fatemeh Parastesh, Farnaz Ghassemi

и другие.

Nonlinear Dynamics, Год журнала: 2024, Номер unknown

Опубликована: Дек. 11, 2024

Язык: Английский

Процитировано

3

Switchable memristive HR neurons with hidden firing patterns and offset boosting dynamics DOI
Lin Zhu,

Yaru Wang

The European Physical Journal Special Topics, Год журнала: 2025, Номер unknown

Опубликована: Апрель 16, 2025

Язык: Английский

Процитировано

0

Pinning control of a multistable memristive neuronal network DOI

Weixing Dai,

Taizhen Luan,

Mingquan Guo

и другие.

The European Physical Journal Special Topics, Год журнала: 2025, Номер unknown

Опубликована: Май 14, 2025

Язык: Английский

Процитировано

0

Hopf Bifurcation in the Delayed Fitzhugh–Nagumo Model With Quasi‐Laplacian Network DOI
Zifei Shen, Qianqian Zheng

Mathematical Methods in the Applied Sciences, Год журнала: 2025, Номер unknown

Опубликована: Май 11, 2025

ABSTRACT In this paper, we explore the dynamical behavior of time‐delayed FitzHugh–Nagumo (FHN) model within quasi‐Laplacian networks, focusing on how network structure influences Turing instability and periodic oscillations. We begin with a stability analysis FHN model, identifying conditions for Hopf bifurcations. Our findings reveal that critical time delay is determined by largest positive eigenvalue, indicating Laplacian does not affect occurrence bifurcation. Employing multiple scales (MTS) method, derive amplitude equation to investigate desynchronization bifurcation in network‐organized systems, providing new insights into mechanism instability. results show as eigenvalue decreases, points become more densely distributed. Moreover, process consistently involves six transitions, leading generation bifurcations across all nodes, serves dynamic desynchronization. Finally, numerical simulations confirm our theoretical predictions, deeper associated biological mechanisms.

Язык: Английский

Процитировано

0

A memristive neuron with double capacitive variables coupled by Josephson junction DOI

Binchi Wang,

Guodong Ren, Jun Ma

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 198, С. 116630 - 116630

Опубликована: Май 29, 2025

Язык: Английский

Процитировано

0

A Rectified Linear Unit-Based Memristor-Enhanced Morris–Lecar Neuron Model DOI Creative Commons

Othman Abdullah Almatroud,

Viet–Thanh Pham, Karthikeyan Rajagopal

и другие.

Mathematics, Год журнала: 2024, Номер 12(19), С. 2970 - 2970

Опубликована: Сен. 25, 2024

This paper introduces a modified Morris–Lecar neuron model that incorporates memristor with ReLU-based activation function. The impact of the on dynamics ML is analyzed using bifurcation diagrams and Lyapunov exponents. findings reveal chaotic behavior within specific parameter ranges, while increased magnetic strength tends to maintain periodic dynamics. emergence various firing patterns, including spiking as well square-wave triangle-wave bursting also evident. demonstrates multistability across certain ranges. Additionally, network these models are explored. study shows synchronization depends flux, occurring at lower coupling strengths flux increases. patterns formation different chimera states, such traveling non-stationary states.

Язык: Английский

Процитировано

1

Pattern transition and bifurcation analysis of ELU-type memristive FitzHugh-Nagumo neuron DOI
Wu Xiao, Fuhong Min, Jiakai Lu

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 191, С. 115915 - 115915

Опубликована: Дек. 21, 2024

Язык: Английский

Процитировано

1