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

Nonlinear Dynamics, Год журнала: 2024, Номер unknown

Опубликована: Дек. 12, 2024

Язык: Английский

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

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 181, С. 114654 - 114654

Опубликована: Март 1, 2024

Язык: Английский

Процитировано

26

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

и другие.

Science China Technological Sciences, Год журнала: 2023, Номер 66(11), С. 3139 - 3152

Опубликована: Окт. 17, 2023

Язык: Английский

Процитировано

42

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

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(11)

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

33

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

и другие.

Cognitive Neurodynamics, Год журнала: 2023, Номер 18(2), С. 673 - 684

Опубликована: Ноя. 1, 2023

Язык: Английский

Процитировано

32

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

и другие.

Chaos Solitons & Fractals, Год журнала: 2023, Номер 172, С. 113554 - 113554

Опубликована: Май 18, 2023

Язык: Английский

Процитировано

26

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

Chengtao Feng

и другие.

Nonlinear Dynamics, Год журнала: 2024, Номер 112(15), С. 13451 - 13464

Опубликована: Май 18, 2024

Язык: Английский

Процитировано

14

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

Yezi Chen

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 180, С. 114484 - 114484

Опубликована: Янв. 22, 2024

Язык: Английский

Процитировано

10

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

и другие.

Journal of Vibration Engineering & Technologies, Год журнала: 2025, Номер 13(1)

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

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

и другие.

Physics Letters A, Год журнала: 2023, Номер 493, С. 129268 - 129268

Опубликована: Дек. 4, 2023

Язык: Английский

Процитировано

18

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

и другие.

npj 2D Materials and Applications, Год журнала: 2024, Номер 8(1)

Опубликована: Янв. 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.

Язык: Английский

Процитировано

6