Modulation of weak signal detection and transmission by an astrocyte in tripartite synapse model DOI
Tuğba Palabaş, Ergin Yılmaz

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 12, 2024

Language: Английский

Bursting and spiking activities in a Wilson neuron circuit with memristive sodium and potassium ion channels DOI
Quan Xu, Kai Wang, Mo Chen

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 181, P. 114654 - 114654

Published: March 1, 2024

Language: Английский

Citations

23

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

40

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

Citations

32

A neuron model with nonlinear membranes DOI
Feifei Yang, Qun Guo, Jun Ma

et al.

Cognitive Neurodynamics, Journal Year: 2023, Volume and Issue: 18(2), P. 673 - 684

Published: Nov. 1, 2023

Language: Английский

Citations

31

Neuronal morphology and network properties modulate signal propagation in multi-layer feedforward network DOI
Tianyu Li, Yong Wu, Lijian Yang

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 172, P. 113554 - 113554

Published: May 18, 2023

Language: Английский

Citations

26

Firing activity in an N-type locally active memristor-based Hodgkin–Huxley circuit DOI
Quan Xu, Yujian Fang,

Chengtao Feng

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(15), P. 13451 - 13464

Published: May 18, 2024

Language: Английский

Citations

11

Unveiling the principles of stochastic resonance and complex potential functions for bearing fault diagnosis DOI
Lifang He, Zhiyuan Jiang,

Yezi Chen

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 180, P. 114484 - 114484

Published: Jan. 22, 2024

Language: Английский

Citations

10

A Novel High-Dimensional Coupled FHN Neuron Stochastic Resonance Model and its Performance in Faults Recognition DOI
Lifang He, Xiaoxiao Huang, Jiaxin Hou

et al.

Journal of Vibration Engineering & Technologies, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 1, 2025

Language: Английский

Citations

1

Effects of neuronal morphology and time delay on inverse stochastic resonance in two-compartment neuron model DOI
Chaoyue Liu, Dong Yu, Tianyu Li

et al.

Physics Letters A, Journal Year: 2023, Volume and Issue: 493, P. 129268 - 129268

Published: Dec. 4, 2023

Language: Английский

Citations

18

Stochastic resonance in 2D materials based memristors DOI Creative Commons
J.B. Roldán, A. Cantudo, Joaquı́n J. Torres

et al.

npj 2D Materials and Applications, Journal Year: 2024, Volume and Issue: 8(1)

Published: Jan. 30, 2024

Abstract Stochastic resonance is an essential phenomenon in neurobiology, it connected to the constructive role of noise signals that take place neuronal tissues, facilitating information communication, memory, etc. Memristive devices are known be cornerstone hardware neuromorphic applications since they correctly mimic biological synapses many different facets, such as short/long-term plasticity, spike-timing-dependent pair-pulse facilitation, Different types neural networks can built with circuit architectures based on memristive (mostly spiking and artificial networks). In this context, stochastic a critical issue analyze will allow fabrication circuits. We do so here h-BN from perspectives. It found we have fabricated measured clearly show behaviour. Consequently, developed account for effect, describes key neurobiology strong computational implications.

Language: Английский

Citations

6