Activity-dependent neuronal model on complex networks (bibtex)
by DE ARCANGELIS Lucilla, Herrmann HJ
Abstract:
Neuronalavalanchesareanovelmodeofactivityinneuronalnetworks,experimentallyfoundinvitroandinvivo,andexhibitarobustcriticalbehavior:theseavalanchesarechar-acterizedbyapowerlawdistributionforthesizeandduration,featuresfoundinotherproblemsinthecontextofthephysicsofcomplexsystems.Wepresentarecentmodelinspiredinself-organizedcriticality,whichconsistsofanelectricalnetworkwiththresholdfiring,refractoryperiod,andactivity-dependentsynapticplasticity.Themodelreproducesthecriticalbehaviorofthedistributionofavalanchesizesanddurationsmeasuredexperi-mentally.Moreover,thepowerspectraoftheelectricalsignalreproduceveryrobustlythepowerlawbehaviorfoundinhumanelectroencephalogram(EEG)spectra.Weimplementthismodelonavarietyofcomplexnetworks,i.e.,regular,small-world,andscale-freeandverifytherobustnessofthecriticalbehavior.
Reference:
Activity-dependent neuronal model on complex networks (DE ARCANGELIS Lucilla, Herrmann HJ), In FRONTIERS IN PHYSIOLOGY, volume 3, 2012. (Articolo in rivista)
Bibtex Entry:
@article{luc12,
author = {DE ARCANGELIS Lucilla, and Herrmann HJ,},
pages = {62.1-62.9},
title = {Activity-dependent neuronal model on complex networks},
volume = {3},
note = {Articolo in rivista},
issn = {1664-042X},
journal = {FRONTIERS IN PHYSIOLOGY},
year = {2012},
wosId = {WOS:000209173000061},
scopusId = {2-s2.0-84866294002},
abstract = {Neuronalavalanchesareanovelmodeofactivityinneuronalnetworks,experimentallyfoundinvitroandinvivo,andexhibitarobustcriticalbehavior:theseavalanchesarechar-acterizedbyapowerlawdistributionforthesizeandduration,featuresfoundinotherproblemsinthecontextofthephysicsofcomplexsystems.Wepresentarecentmodelinspiredinself-organizedcriticality,whichconsistsofanelectricalnetworkwiththresholdfiring,refractoryperiod,andactivity-dependentsynapticplasticity.Themodelreproducesthecriticalbehaviorofthedistributionofavalanchesizesanddurationsmeasuredexperi-mentally.Moreover,thepowerspectraoftheelectricalsignalreproduceveryrobustlythepowerlawbehaviorfoundinhumanelectroencephalogram(EEG)spectra.Weimplementthismodelonavarietyofcomplexnetworks,i.e.,regular,small-world,andscale-freeandverifytherobustnessofthecriticalbehavior.}
}
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