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Title:Fluctuating excitability : a mechanism for self-sustained information flow in excitable arrays
Authors:Perc, Matjaž (Author)
Files:URL http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=23350699&site=ehost-live
 
Language:English
Work type:Unknown ()
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:We show that the fluctuating excitability of FitzHugh-Nagumo neurons, constituting a diffusively coupled excitable array, can induce phase slips that lead to a symmetry break yielding a preferred spreading direction of excitatory events, thus enabling persistent self-sustained and self-organized information flow in a periodic array long after a localized stimulus perturbation has sized. Possible oscillation frequencies of the information-carrying signal are expressed analytically, and necessary conditions for the phenomenon are derived. Our results suggest that cellular diversity in neural tissue is crucial for maintaining self-sustained and organized activity in the brain even in the absence of immediate stimuli, thus facilitating continuous evolution of its mechanisms for information retrieval and storage.
Keywords:physics, complex systems, dynamical systems, flexibility, chaos, chaotic systems, oscillations, perturbation
Year of publishing:2007
UDC:539.19
ISSN on article:0960-0779
COBISS_ID:15191560 Link is opened in a new window
NUK URN:URN:SI:UM:DK:33LUB1KS
Views:1063
Downloads:49
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Categories:Misc.
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Record is a part of a journal

Title:Chaos, solitons and fractals
Publisher:Pergamon
COBISS.SI-ID:170011 New window

Secondary language

Language:English
Keywords:fizika, matematična fizika, oscilacije, fleksibilnost, kaos, kaotični sistemi


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