Structural models of cortical networks with long-range connectivity

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Abstract: Most current studies of neuronal activity dynamics in cortex are based on network models with completely random wiring. Such models are chosen for mathematical convenience, rather than biological grounds, and additionally reflect the notorious lack of knowledge about the neuroanatomical microstructure. Here, we describe some families of new, more realistic network models and explore some of their properties. Specifically, we consider spatially embedded networks and impose specific distance-dependent connectivity profiles. Each of these network models can cover the range from purely local to completely random connectivity, controlled by a single parameter. Stochastic graph theory is then used to describe and analyze the structure and the topology of these networks

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
Mathematical Problems in Engineering. 2012 (2012), Article ID 484812, 17 pages, DOI 10.1155/2012/484812, issn: 1024-123X
IN COPYRIGHT http://rightsstatements.org/page/InC/1.0 rs

Klassifikation
Biowissenschaften, Biologie

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2012
Urheber
Beteiligte Personen und Organisationen

DOI
10.1155/2012/484812
URN
urn:nbn:de:bsz:25-freidok-118389
Rechteinformation
Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:50 MEZ

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  • 2012

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