The effects of inhibitory and excitatory neurons on the dynamics and control of avalanching neural networks

dc.contributor.authorCarroll, Jacoben
dc.contributor.authorWarren, Adaen
dc.contributor.authorTaüber, Uwe C.en
dc.date.accessioned2018-12-27T18:55:02Zen
dc.date.available2018-12-27T18:55:02Zen
dc.date.issued2018-11-28en
dc.date.updated2018-12-27T18:55:02Zen
dc.description.abstractThe statistical analysis of the collective neural activity known as avalanches provides insight into the proper behavior of brains across many species. We consider a neural network model based on the work of Lombardi, Herrmann, De Arcangelis et al. that captures the relevant dynamics of neural avalanches, and we show how tuning the fraction of inhibitory neurons in this model alters the connectivity of the network over time, removes exponential cut-offs present in the distributions of avalanche strength and duration, and transitions the power spectral density of the network into an `epileptic' regime. We propose that the brain operates away from this power law regime of low inhibitory fraction to protect itself from the dominating avalanches present in these extended distributions. We present control strategies that curtail these power law distributions through either random or, more effectively, targeted disabling of excitatory neurons.en
dc.description.notes14 pages, 10 figuresen
dc.identifier.orcidTauber, Uwe [0000-0001-7854-2254]en
dc.identifier.urihttp://hdl.handle.net/10919/86528en
dc.relation.urihttp://arxiv.org/abs/1809.01646v2en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectcond-mat.dis-nnen
dc.subjectcond-mat.stat-mechen
dc.subjectq-bio.NCen
dc.titleThe effects of inhibitory and excitatory neurons on the dynamics and control of avalanching neural networksen
dc.typeArticleen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/Physicsen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen
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