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

Ping Zhou,

Xiaofeng Zhang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 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.

Language: Английский

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

Ping Zhou,

Xiaofeng Zhang

et al.

Cognitive Neurodynamics, Journal Year: 2025, Volume and Issue: 19(1)

Published: May 19, 2025

Language: Английский

Citations

0
Adaptive mode selection of electrical activities in a neuron with a memristive ion channel DOI
Feifei Yang, Xinlin Song, Zhenhua Yu

et al.

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

Published: Dec. 13, 2024

Language: Английский

Citations

3
Dynamical behaviors of a controllable memristive chaotic map DOI
Zhenhua Yu, Jia He, Xinlin Song

et al.

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(5)

Published: May 19, 2025

Language: Английский

Citations

0
Boundary analysis and energy feedback control of fractional-order extended Malkus–Robbins dynamo system DOI
Yi‐You Hou,

Ming-Hung Lin,

Hassan Saberi Nik

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 183, P. 114922 - 114922

Published: May 3, 2024

Language: Английский

Citations

2
The dynamical behavior effects of different numbers of discrete memristive synaptic coupled neurons DOI

Minyuan Cheng,

Kaihua Wang,

Xianying Xu

et al.

Cognitive Neurodynamics, Journal Year: 2024, Volume and Issue: 18(6), P. 3963 - 3979

Published: Sept. 13, 2024

Language: Английский

Citations

1
Coherence resonance in a memristive map neuron and adaptive energy regulation DOI
Yixuan Chen, Feifei Yang, Chunni Wang

et al.

Modern Physics Letters B, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 18, 2024

Involvement of memristive term and additive physical variables including magnetic flux charge can enhance the description biophysical neurons. Neural circuits coupled with memristors be built tamed to mimic intrinsic characteristics dynamical properties biological neurons, these oscillator models are effective in predicting mode transition neural activities self-organization collective electric behaviors networks. Any proposal map neurons requires reliable description. For example, energy definition self-adaptive working mechanism crucial verify reliability maps. A capacitive variable is useful describe membrane potential, while complexity ion channels careful evaluation by using inductive relative electromagnetic field. In this work, a charge-controlled memristor connected an inductor series for building hybrid channel, then capacitor nonlinear resistor combined couple channel. As result, simple circuit designed discern inner effect field synchronously. The function defined verified theoretical proof. Furthermore, linear transformation applied convert neuron into exact description, which its dynamics will controlled adaptive law when beyond threshold. Additive noise imposed induce coherence resonance, detected statistical analysis average value Hamilton during changes intensity. This scheme provides guidance maps regulation explained from aspects.

Language: Английский

Citations

1
Firing dynamics and coupling synchronization of memristive EMR-based Chaivlo neuron utilizing equivalent energy approach DOI
B. J. Liu,

Muning Li,

Zhijun Li

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2024, Volume and Issue: 34(11)

Published: Nov. 1, 2024

Firing dynamics and its energy property of neuron are crucial for exploring the mechanism intricate information processing within nervous system. However, analysis discrete is significantly lacking in comparison to vast literature mature theory available on continuous neuron, thereby necessitating a focused effort this underexplored realm. In paper, we introduce Chaivlo map by employing flux-controlled memristor simulate electromagnetic radiation (EMR), detailed firing conducted based an equivalent Hamiltonian approach. Our observations reveal that range energy-based behaviors, such as spike firing, coexistence mixed-mode chaotic bursting can be induced EMR injected current. To delve deeper into synchronous dynamics, establish network electrically coupling two memristive EMR-based neurons. Subsequently, experimentally evaluate synchronization behavior quantifying both factor average difference energy. findings conclusively demonstrate strength positively contribute network's ability.

Language: Английский

Citations

1
Generalized Bio-Plausible Neuron Model with Refractoriness, Frequency Adaptation and Dynamic Threshold DOI
I. Munavar Sheriff, R. Sakthivel

Journal of Circuits Systems and Computers, Journal Year: 2024, Volume and Issue: 33(16)

Published: June 28, 2024

Real biological neurons are dynamical systems that can process a nonlinear, arbitrary input signal with dynamic threshold voltage, exhibit refractory time, and have smooth [Formula: see text]–[Formula: text] curve. This paper presents generalized bio-plausible neuron model refractoriness, frequency adaptation, threshold. The spiking characteristics of the enhanced less circuitry fewer parameters compared to older circuits. proposed silicon generate all known behaviors, just like neuron. circuit is designed using 180 nm standard CMOS process. entire design uses 22 transistors total power consumption only 2 nW for 1 nA step current at spike 122 Hz. rate depend on current. also capable displaying both Type I II response characteristics. In addition, our underwent Monte Carlo simulation 1000 sample runs assess its robustness stability against variations uncertainties. results indicate average energy falls within range 16 pJ 68 pJ.

Language: Английский

Citations

0
Coexisting phenomena and antimonotonic evolution in a memristive Shinriki circuit DOI
Yizi Cheng, Fuhong Min, Lei Xue

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 186, P. 115304 - 115304

Published: July 23, 2024

Language: Английский

Citations

0
An efficient image scheme for IoMT using 4D memristive hyperchaotic map DOI
Qiang Lai,

Huangtao Wang

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

Published: Sept. 3, 2024

Language: Английский

Citations

0