Distributed open-loop optogenetic control of cortical epileptiform activity in a Wilson-Cowan network

Yanqiu Che

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents a distributed open-loop optogenetic control for suppression of epileptiform activity in a neural population model of cortex. In epilepsy, cortical seizures or epileptiform activities occur when pyramidal cells become hyper-excitable due to the loss of inhibitory interneurons. A straightforward way to suppress these epileptiform activities is to inhibit pyramidal cells by exciting interneurons. Thus, in this paper, the inhibitory neural population is targeted for the application of open-loop optogenetic control. By introducing computational model of the light-gated Channelrhodopsin-2 (ChR2) ion channels into the well-known Wilson-Cowan model, we first establish a neural population model for optogenetic control of cortical dynamics. Then, we investigate the effects of open-loop optogenetic control parameters (irradiance intensity and pulse duration) on the control performance. Finally, we use a spatially distributed control strategy to normalize cortical dynamics with minimum optical stimulations. The simulation results demonstrate the effectiveness of our propose control method for suppression of epileptiform activities.

Original languageEnglish (US)
Title of host publication8th International IEEE EMBS Conference on Neural Engineering, NER 2017
PublisherIEEE Computer Society
Pages469-472
Number of pages4
ISBN (Electronic)9781538619162
DOIs
StatePublished - Aug 10 2017
Event8th International IEEE EMBS Conference on Neural Engineering, NER 2017 - Shanghai, China
Duration: May 25 2017May 28 2017

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other8th International IEEE EMBS Conference on Neural Engineering, NER 2017
CountryChina
CityShanghai
Period5/25/175/28/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Mechanical Engineering

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