Delayed feedback control in stochastic excitable networks

Natalia Janson, Andrey Pototsky, Sandhya Patidar

Research output: Contribution to conferencePaper

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Abstract

A simplified model of a stochastic neural network is considered, being a system of a large number of identical excitable FitzHugh-Nagumo oscillators coupled via the mean field. The possibility to control the global dynamics of this network is investigated. The control tool being probed is Pyrgas delayed feedback constructed
and applied through the mean field. It is shown that one can to destroy or diminish stochastic synchronization in a partially synchronized network by a weak delayed feedback under the appropriate choice of delay.
Original languageEnglish
Publication statusPublished - 1 Sep 2009
Event4th International Scientific Conference on Physics and Control 2009 - Catania, Italy
Duration: 1 Sep 20094 Sep 2009

Conference

Conference4th International Scientific Conference on Physics and Control 2009
Abbreviated titlePhysCon 2009
CountryItaly
CityCatania
Period1/09/094/09/09

Keywords

  • Network
  • Neuron
  • Stochastic
  • Delay
  • Control

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