Synchrony suppression in ensembles of coupled oscillators via adaptive vanishing feedback

DOI10.1063/1.4817393zbMath1323.34072arXiv1305.4405OpenAlexW2084500402WikidataQ51157633 ScholiaQ51157633MaRDI QIDQ3193346

Ghazal Montaseri, Mohammad Javad Yazdanpanah, Michael G. Rosenblum, Arkadij S. Pikovskij

Publication date: 28 October 2015

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.4405

Mathematics Subject Classification ID

Feedback control (93B52) Neural biology (92C20) Stability of solutions to ordinary differential equations (34D20) Nonlinear oscillations and coupled oscillators for ordinary differential equations (34C15) Qualitative investigation and simulation of ordinary differential equation models (34C60) Synchronization of solutions to ordinary differential equations (34D06)

Related Items (12)

Closed-loop firing rate regulation of two interacting excitatory and inhibitory neural populations of the basal ganglia ⋮ Stabilization of a network of the FitzHugh-Nagumo oscillators by means of a single capacitor based RC filter feedback technique ⋮ Designing a deep brain stimulator to suppress pathological neuronal synchrony ⋮ Dynamics of globally coupled oscillators: Progress and perspectives ⋮ Adaptive elimination of synchronization in coupled oscillator ⋮ Reinforcement learning for suppression of collective activity in oscillatory ensembles ⋮ Desynchronization of large-scale neural networks by stabilizing unknown unstable incoherent equilibrium states ⋮ Relay-based hybrid control of minimal-order mechanical systems with applications ⋮ Desynchronization of coupled limit-cycle oscillators through nonlinear output regulation ⋮ Controlling collective synchrony in oscillatory ensembles by precisely timed pulses ⋮ Controlling synchrony in an array of the globally coupled Fitzhugh-Nagumo type oscillators ⋮ Eliminating synchronization of coupled neurons adaptively by using feedback coupling with heterogeneous delays

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