Desynchronization of large-scale neural networks by stabilizing unknown unstable incoherent equilibrium states

DOI10.1016/j.physleta.2023.129232arXiv2310.12157MaRDI QIDQ6194945

Tatjana Pyragiene, Kestutis Pyragas

Publication date: 12 March 2024

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2310.12157

zbMATH Keywords

neural networkmean-field equationssynchronization controlquadratic integrate-and-fire neuronsHindmarsh-Rose neurons

Mathematics Subject Classification ID

Quantum theory (81-XX) Statistical mechanics, structure of matter (82-XX)

Cites Work

• Mechanism of suppression of sustained neuronal spiking under high-frequency stimulation
• Chemical oscillations, waves, and turbulence
• Mathematical foundations of neuroscience
• Dynamics of a network of quadratic integrate-and-fire neurons with bimodal heterogeneity
• Control of neuronal synchrony by nonlinear delayed feedback
• Washout filter aided mean field feedback desynchronization in an ensemble of globally coupled neural oscillators
• Effectively desynchronizing deep brain stimulation based on a coordinated delayed feedback stimulation via several sites: a computational study
• Synchrony suppression in ensembles of coupled oscillators via adaptive vanishing feedback
• DELAYED FEEDBACK SUPPRESSION OF COLLECTIVE RHYTHMIC ACTIVITY IN A NEURONAL ENSEMBLE
• Synchronization
• Low dimensional behavior of large systems of globally coupled oscillators
• The geometry of biological time.
• Effect of Cauchy noise on a network of quadratic integrate-and-fire neurons with non-Cauchy heterogeneities
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