Vladislav Volman (Avtor), Matjaž Perc (Avtor)

Povzetek

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.

Ključne besede

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

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UM FNM - Fakulteta za naravoslovje in matematiko
UDK: 519.83:53
COBISS: 14075670 Povezava se bo odprla v novem oknu
ISSN: 1367-2630
Št. ogledov: 1244
Št. prenosov: 345
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: nevronska dinamika;kompleksne mreže;koevolucija;kognicija;
URN: URN:SI:UM:
Vrsta dela (COBISS): Članek v reviji
Strani: str. 043013-1-043013-11
Letnik: ǂVol. ǂ12
Zvezek: ǂiss. ǂ4
Čas izdaje: 2010
DOI: 10.1088/1367-2630/12/4/043013
ID: 10846202