Direction-dependent noise-induced synchronization in mobile oscillators DOI Open Access
Emilda Shajan, Dibakar Ghosh, Jürgen Kurths

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(5)

Опубликована: Май 1, 2023

Synchronization among uncoupled oscillators can emerge when common noise is applied on them and famously known as noise-induced synchronization. In previous studies, it was assumed that may drive all the at same time they are static in space. Understanding how to develop a mathematical model apply only fraction of significant importance for Here, we propose direction-dependent field synchronization an ensemble mobile oscillators/agents, effective each moving agent function its direction motion. This enables application if agents oriented direction. We observe not complete but also clustered states density beyond critical value intensity, which characteristic internal dynamics agents. Our results provide deeper understanding even mobility affects behaviors.

Язык: Английский

Energy and self-adaption in a memristive map neuron DOI
Junen Jia, Chunni Wang,

Xiaofeng Zhang

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 182, С. 114738 - 114738

Опубликована: Март 19, 2024

Язык: Английский

Процитировано

19

Firing behaviors of memristor-based Rulkov neuron map using energy method DOI
B. J. Liu, Xuenan Peng, Chunlai Li

и другие.

AEU - International Journal of Electronics and Communications, Год журнала: 2024, Номер 178, С. 155283 - 155283

Опубликована: Апрель 11, 2024

Язык: Английский

Процитировано

9

Spike-timing dependent plasticity learning of small spiking neural network for image recognition DOI
A. V. Kurbako, Dmitry M. Ezhov, В. И. Пономаренко

и другие.

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

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

1

Multi-scale spatiotemporal attention network for neuron based motor imagery EEG classification DOI
Venkata Chunduri, Yassine Aoudni, Samiullah Khan

и другие.

Journal of Neuroscience Methods, Год журнала: 2024, Номер 406, С. 110128 - 110128

Опубликована: Март 28, 2024

Язык: Английский

Процитировано

7

Self-induced-stochastic-resonance breathing chimeras DOI
Jinjie Zhu, Marius E. Yamakou

Physical review. E, Год журнала: 2023, Номер 108(2)

Опубликована: Авг. 10, 2023

The study by Semenova et al. [Phys. Rev. Lett. 117, 014102 (2016)] discovered a type of chimera state known as coherence-resonance (CRC), which combines the effects coherence resonance (CR) and spatial property classical chimeras. In this Letter, we present yet another form chimera, refer to self-induced-stochastic-resonance breathing (SISR-BC), differs fundamentally from CRC in that it mechanism self-induced stochastic (SISR, previously shown DeVille E 72, 031105 (2005)] be intrinsically different CR), symmetry breaking rotational coupling between slow fast subsystems coupled oscillators, chimera---a characterized nonstationary periodic dynamics coherent-incoherent patterns with periodically oscillating global order parameter. Unlike other types chimeras, including CRC, SISR-BC demonstrates remarkable resilience relatively wide range perturbations persists even when purely excitable system is significantly distant Hopf bifurcation threshold---thanks SISR---and globally attracts random distributions initial conditions. Considering its potential impact on information processing neuronal networks, could have special significance applications.

Язык: Английский

Процитировано

14

Genesis of chimera patterns through self-induced stochastic resonance DOI

Taniya Khatun,

Tanmoy Banerjee

Chaos Solitons & Fractals, Год журнала: 2023, Номер 174, С. 113846 - 113846

Опубликована: Июль 24, 2023

Язык: Английский

Процитировано

12

Lévy noise-induced coherence resonance: Numerical study versus experiment DOI
Ivan A. Korneev, Anna Zakharova, В. В. Семенов

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 184, С. 115037 - 115037

Опубликована: Май 22, 2024

Язык: Английский

Процитировано

4

Inverse stochastic resonance in adaptive small-world neural networks DOI
Marius E. Yamakou, Jinjie Zhu, Erik A. Martens

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(11)

Опубликована: Ноя. 1, 2024

Inverse stochastic resonance (ISR) is a counterintuitive phenomenon where noise reduces the oscillation frequency of an oscillator to minimum occurring at intermediate intensity, and sometimes even complete absence oscillations. In neuroscience, ISR was first experimentally verified with cerebellar Purkinje neurons [Buchin et al., PLOS Comput. Biol. 12, e1005000 (2016)]. These experiments showed that enables locally optimal information transfer between input output spike train neurons. Subsequent studies have further demonstrated efficiency processing in neural networks small-world network topology. We conducted numerical investigation into impact adaptivity on noisy FitzHugh-Nagumo (FHN) neurons, operating bi-metastable regime consisting metastable fixed point limit cycle. Our results show degree highly dependent value FHN model's timescale separation parameter ε. The structure undergoes dynamic adaptation via mechanisms either spike-time-dependent plasticity (STDP) potentiation-/depression-domination P or homeostatic structural (HSP) rewiring F. demonstrate both STDP HSP amplify effect when ε lies within bi-stability region Specifically, larger values regime, higher frequencies F are observed enhance (weak) synaptic intensities, while consistent depression-domination (potentiation-domination) consistently (deteriorate) ISR. Moreover, although control parameters may jointly ISR, has greater improving compared findings inform future enhancement strategies artificial circuits, aiming optimize local trains neuromorphic systems prompt venues for networks.

Язык: Английский

Процитировано

4

Trade-off between coherence and dissipation for excitable phase oscillators DOI
Chunming Zheng

Physical review. E, Год журнала: 2025, Номер 111(1)

Опубликована: Янв. 3, 2025

Thermodynamic uncertainty relation (TUR) bounds coherence in stochastic oscillatory systems. In this paper, we show that both dynamical and thermodynamic play important roles for the excitable oscillators, e.g., neurons. Firstly, investigate trade-off between dissipation sub- superthreshold regions a single unit, where TUR saddle-node on an invariant circle (SNIC) constrain fluctuation of interspike intervals. Secondly, widely studied phenomenon called resonance, there exists noise strength to make responses system most coherent, is also bounded by one-dimensional phase model. Finally, study coherence-dissipation ensembles strongly coupled oscillators.

Язык: Английский

Процитировано

0

Intermittency in predicting the behavior of stochastic systems using reservoir computing DOI

Nikita Kulagin,

А. В. Андреев, А. А. Короновский

и другие.

Physical review. E, Год журнала: 2025, Номер 111(2)

Опубликована: Фев. 21, 2025

A new behavior type of reservoir computing model for predicting dynamics stochastic systems has been observed. It shown that when the control parameters predicted system and are turned, we observe intermittent behavior, i.e., close to threshold parameter value demonstrates accurate prediction most time, but there time intervals during which is interrupted by characterized lack prediction. The characteristics intermittency in correspond well-known on--off intermittency. concept effective noise describe quality proposed, technique its amplitude estimation developed.

Язык: Английский

Процитировано

0