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In this paper, we introduce a novel approach to solve the (mean-covariance) steering problem for a fairly general class of linear continuous-time stochastic systems subject to input delays. Specifically, we aim at steering delayed linear…

最优化与控制 · 数学 2023-11-27 Gabriel Velho , Riccardo Bonalli , Jean Auriol , Islam Boussaada

We review our recent work on the synchronization of a network of delay-coupled maps, focusing on the interplay of the network topology and the delay times that take into account the finite velocity of propagation of interactions. We assume…

混沌动力学 · 物理学 2009-11-13 Arturo C. Martí , Marcelo Ponce , Cristina Masoller

Stochastic resonance holds much promise for the detection of weak signals in the presence of relatively loud noise. Following the discovery of nondynamical and of aperiodic stochastic resonance, it was recently shown that the phenomenon can…

凝聚态物理 · 物理学 2009-10-31 Redouane Fakir

We report a noise induced delay of bifurcation in a simple pulse-coupled neural circuit. We study the behavior of two neural oscillators, each individually governed by saddle-node dynamics, with reciprocal excitatory synaptic connections.…

生物物理 · 物理学 2007-05-23 Boris Gutkin , Tim Hely , Juergen Jost

Noise-induced dynamics of a prototypical bistable system with delayed feedback is studied theoretically and numerically. For small noise and magnitude of the feedback, the problem is reduced to the analysis of the two-state model with…

统计力学 · 物理学 2009-11-07 L. S. Tsimring , A. Pikovsky

In this paper, the complete synchronization problem of linearly coupled neural networks with reaction-diffusion terms and time-varying delays via aperiodically intermittent pinning control is investigated. The coupling matrix for the…

系统与控制 · 计算机科学 2016-04-13 Xiwei Liu , Zhang Chen , Lingjun Zhou

We study the effects of coupling between layers of stochastic neural field models with laminar structure. In particular, we focus on how the propagation of waves of neural activity in each layer is affected by the coupling. Synaptic…

斑图形成与孤子 · 物理学 2015-06-17 Zachary P. Kilpatrick

We have analyzed the synchronization of a small-world network of chaotic Rulkov neurons with an electrical coupling that contains a delay. We have developed an algorithm to compute a certain delay whose result is to improve the…

适应与自组织系统 · 物理学 2019-05-01 Roberto Lozano , Javier Used , Miguel A. F. Sanjuán

We study the dynamics of networks with coupling delay, from which the connectivity changes over time. The synchronization properties are shown to depend on the interplay of three time scales: the internal time scale of the dynamics, the…

Spike-timing-dependent plasticity (STDP) with asymmetric learning windows is commonly found in the brain and useful for a variety of spike-based computations such as input filtering and associative memory. A natural consequence of STDP is…

神经元与认知 · 定量生物学 2012-07-13 Naoki Masuda , Hiroshi Kori

A delay is known to induce multistability in periodic systems. Under influence of noise, coupled oscillators can switch between coexistent orbits with different frequencies and different oscillation patterns. For coupled phase oscillators…

适应与自组织系统 · 物理学 2015-06-22 Otti D'Huys , Thomas Juengling , Wolfgang Kinzel

We investigate how a constant time delay influences a parametric autoresonant system. This is a nonlinear system driven by a parametrically chirped force with a negative delay-feedback that maintains adiabatic phase locking with the driving…

混沌动力学 · 物理学 2025-02-04 Somnath Roy , Mattia Coccolo , Miguel A. F. Sanjuán

We study theoretically a bistable systems with time-delayed feedback driven by weak periodic force. The effective potential function and the steady-state probability density are derived. The delay time and the strength of its feedback can…

统计力学 · 物理学 2009-01-15 Rui-Hua Shao , Yong Chen

By introducing extrinsic noise as well as intrinsic uncertainty into a network with stochastic events, this paper studies the dynamics of the resulting Markov random network and characterizes a novel phenomenon of intermittent…

动力系统 · 数学 2021-05-26 Arno Berger , Hong Qian , Shirou Wang , Yingfei Yi

Delays and stochasticity have both served as crucially valuable ingredients in mathematical descriptions of control, physical, and biological systems. In this work, we investigate how explicitly dynamical stochasticity in delays modulates…

分子网络 · 定量生物学 2023-07-10 Bhargav R. Karamched , Christopher E. Miles

Adding noise to a sensory signal generally decreases human performance. However noise can improve performance too, due to a process called stochastic resonance (SR). This paradoxical effect may be exploited in psychophysical experiments, to…

神经元与认知 · 定量生物学 2017-11-15 Jeroen J. A. van Boxtel

We analyze zero-lag and cluster synchrony of delay-coupled non-smooth dynamical systems by extending the master stability approach, and apply this to networks of adaptive threshold-model neurons. For a homogeneous population of excitatory…

适应与自组织系统 · 物理学 2013-11-06 Josef Ladenbauer , Judith Lehnert , Hadi Rankoohi , Thomas Dahms , Eckehard Schöll , Klaus Obermayer

We show that \emph{stochastic bursting} is observed in a ring of unidirectional delay-coupled noisy excitable systems, thanks to the combinational action of time-delayed coupling and noise. Under the approximation of timescale separation,…

无序系统与神经网络 · 物理学 2019-05-01 Chunming Zheng , Arkady Pikovsky

Biological neurons receive multiple noisy oscillatory signals, and their dynamical response to the superposition of these signals is of fundamental importance for information processing in the brain. Here we study the response of neural…

神经元与认知 · 定量生物学 2017-08-28 Daqing Guo , Matjaz Perc , Yangsong Zhang , Peng Xu , Dezhong Yao

We study a network of spiking neurons with heterogeneous excitabilities connected via inhibitory delayed pulses. For globally coupled systems the increase of the inhibitory coupling reduces the number of firing neurons by following a Winner…

无序系统与神经网络 · 物理学 2019-05-29 Stefano Luccioli , David Angulo Garcia , Alessandro Torcini