Vladislav Volman (Author), Matjaž Perc (Author)

Abstract

We study dynamical responses in locally paced networks consisting of diffusively coupled excitable units with dynamically adjusted connectivity. It is shown that for weak subthreshold pacing, excessive or strong connectivity impairs the reliable response of a network to the stimulus. Fast random dynamic rewiring of the network also acts detrimentally on signal detection by enforcing a faster relaxation upon the paced unit. Our results indicate that efficient signal processing on excitable complex networks requires tight correspondence between the dynamics of connectivity and the dynamical processes taking place on the network. This, in turn, suggests the existence of 'function-follows-form' principles for systems described within this framework.

Keywords

nevronska dinamika;kompleksne mreže;koevolucija;kognicija;neuronal dynamics;complex networks;coevolution;cognition;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FNM - Faculty of Natural Sciences and Mathematics
UDC: 519.83:53
COBISS: 14075670 Link will open in a new window
ISSN: 1367-2630
Views: 1244
Downloads: 345
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Other data

Secondary language: Slovenian
Secondary keywords: nevronska dinamika;kompleksne mreže;koevolucija;kognicija;
URN: URN:SI:UM:
Type (COBISS): Article
Pages: str. 043013-1-043013-11
Volume: ǂVol. ǂ12
Issue: ǂiss. ǂ4
Chronology: 2010
DOI: 10.1088/1367-2630/12/4/043013
ID: 10846202