Neuron circuit made of a single locally-active memristor DOI

Yan Yan,

Peipei Jin, J L Shi

et al.

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

Published: Aug. 31, 2024

Neuromorphic computing, inspired by the human brain’s architecture, is expected to break physical limits of transistors and von Neumann bottleneck. The multiple internal state variables higher-order memristors (second-order or above) possess dynamic complexity adaptability, enabling them mimick characteristics biological neurons, which are very important building blocks for neuromorphic computing. This paper presents a simple neuron circuit containing single second-order current-controlled locally-active memristor (LAM). pinched hysteresis loop DC V–I curve proposed LAM show good odd symmetry. Applying small signal analysis method, we obtain small-signal equivalent circuit, showing [Formula: see text] parallel structure an edge chaos kernel in its domain. Also, draw parameter classification four symmetrical domains, plays role biphasic action potentials. Finally, demonstrate that can produce monophasic potentials, potentials co-existing phenomena via subcritical Hopf bifurcation with different input, verifying suitable as artificial neurons.

Language: Английский

Coexisting discharge and synchronization of heterogeneous discrete neural network with crosstalk memristor synapses DOI Open Access
Xuan Wang,

Jianrong Du,

Zhijun Li

et al.

Acta Physica Sinica, Journal Year: 2024, Volume and Issue: 73(11), P. 110503 - 110503

Published: Jan. 1, 2024

Synaptic crosstalk, which occurs due to the overflow of neurotransmitters between neighboring synapses, holds a crucial position in shaping discharge characteristics and signal transmission within nervous systems. In this work, two memristors are employed simulate biological neural synapses bidirectionally coupled Chialvo discrete neuron Rulkov neuron. Thus, heterogeneous network with memristor-synapse coupling is constructed, crosstalk behavior memristor state taken into account. The analysis demonstrates that quantity stability fixed points greatly depend on strength synaptic crosstalk. Additionally, through thorough investigation bifurcation diagrams, phase Lyapunov exponents, time sequences, we uncover multi-stable property exhibited by network. This characteristic manifests as coexistence diverse behaviors, significantly change intensity Interestingly, introduction control parameter variables can lead bias increase, also infinite stable states occur Furthermore, comprehensively study influence synchronization network, consideration various strengths, initial conditions, parameters. Our analysis, based difference factor neuronal reveales maintains despite variations strengths. insights gained from work provide important support for elucidating electrophysiological mechanisms behind processing information. Especially, coexisting phenomenon provides an theoretical foundation clinical symptoms diagnosis same neurological disease among different individuals or at stages. And doctors predict progression prognosis patterns patients, enabling them adopt appropriate intervention measures monitoring plans. Therefore, research system contributes comprehensive treatment disease.

Language: Английский

Citations

9
Rich dynamics induced by memristive synapse in Chialvo neuron network DOI

Minghong Qin,

Qiang Lai, Luigi Fortuna

et al.

Nonlinear Dynamics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

0
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
Initial-boosted dynamics in a memristive Chialvo map and its application for image encryption with hardware implementation DOI
Liping Huang, Weiwei Fan,

Chengtao Feng

et al.

AEU - International Journal of Electronics and Communications, Journal Year: 2024, Volume and Issue: unknown, P. 155597 - 155597

Published: Nov. 1, 2024

Language: Английский

Citations

3
Hybrid diffusion-based visual image encryption for secure cloud storage DOI
Yan Zhang, Yaonan Tong, Chunlai Li

et al.

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

Published: Oct. 7, 2024

Language: Английский

Citations

2
A simple mathematical theory for Simple Volatile Memristors and their spiking circuits DOI Creative Commons
T. M. Kamsma, René van Roij, Cristian Spitoni

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 186, P. 115320 - 115320

Published: July 27, 2024

In pursuit of neuromorphic (brain-inspired) devices, memristors (memory-resistors) have emerged as effective components for emulating neuronal circuitry. Here we formally define a class Simple Volatile Memristors (SVMs) based on simple conductance equation motion from which build mathematical theory the dynamics isolated SVMs and SVM-based spiking circuits. Notably, include various fluidic iontronic devices that recently garnered significant interest due to their unique quality operating within same medium brain. Specifically show symmetric produce non self-crossing current–voltage hysteresis loops, while asymmetric loops. Additionally, derive general expression enclosed area in loop, providing relation between voltage frequency SVM memory timescale. These results are shown materialise physical finite-element calculations microfluidic memristors. An circuit has been proposed exhibits all-or-none tonic spiking. We generalise analyse this circuit, characterising it two-dimensional dynamical system. Moreover, demonstrate stochastic effects can induce novel firing modes absent deterministic case. Through our analysis, well understood, retaining its explicit link with physically plausible underlying

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
Memristors-coupled neuron models with multiple firing patterns and homogeneous and heterogeneous multistability DOI

Xuan 暄 Wang 王,

Santo Banerjee,

Yinghong 颖鸿 Cao 曹

et al.

Chinese Physics B, Journal Year: 2024, Volume and Issue: 33(10), P. 100501 - 100501

Published: July 12, 2024

Abstract Memristors are extensively used to estimate the external electromagnetic stimulation and synapses for neurons. In this paper, two distinct scenarios, i.e., an ideal memristor serves as a locally active synapse, formulated investigate impact of on two-dimensional Hindmarsh–Rose neuron model. Numerical simulations show that neuronal models in different scenarios have multiple burst firing patterns. The introduction makes model exhibit complex dynamical behaviors. Finally, simulation circuit DSP hardware implementation results validate physical mechanism, well reliability biological

Language: Английский

Citations

0
Complex dynamical behaviors of a honeybee-mite model in parameter plane DOI
Sarbari Karmakar, Nikhil Pal

Physica D Nonlinear Phenomena, Journal Year: 2024, Volume and Issue: 468, P. 134300 - 134300

Published: July 20, 2024

Language: Английский

Citations

0
Neuron circuit made of a single locally-active memristor DOI

Yan Yan,

Peipei Jin, J L Shi

et al.

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

Published: Aug. 31, 2024

Neuromorphic computing, inspired by the human brain’s architecture, is expected to break physical limits of transistors and von Neumann bottleneck. The multiple internal state variables higher-order memristors (second-order or above) possess dynamic complexity adaptability, enabling them mimick characteristics biological neurons, which are very important building blocks for neuromorphic computing. This paper presents a simple neuron circuit containing single second-order current-controlled locally-active memristor (LAM). pinched hysteresis loop DC V–I curve proposed LAM show good odd symmetry. Applying small signal analysis method, we obtain small-signal equivalent circuit, showing [Formula: see text] parallel structure an edge chaos kernel in its domain. Also, draw parameter classification four symmetrical domains, plays role biphasic action potentials. Finally, demonstrate that can produce monophasic potentials, potentials co-existing phenomena via subcritical Hopf bifurcation with different input, verifying suitable as artificial neurons.

Language: Английский

Citations

0