Structured thalamocortical connectivity revealed by random walks on complex networks

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dc.creatorCosta, Luciano da Fontoura
dc.creatorSporns, Olaf
dc.date2006-02-17
dc.date2006-02-25
dc.date.accessioned2026-07-07T07:04:12Z
dc.date.available2026-07-07T07:04:12Z
dc.descriptionThe segregated regions of the mammalian cerebral cortex and thalamus form an extensive and complex network, whose structure and function are still only incompletely understood. The present article describes an application of the concepts of complex networks and random walks that allows the identification of non-random, highly structured features of thalamocortical connections, and their potential effects on dynamic interactions between cortical areas in the cat brain. Utilizing large-scale anatomical data sets of this thalamocortical system, we investigate uniform random walks in such a network by considering the steady state eigenvector of the respective stochastic matrix. It is shown that thalamocortical connections are organized in such a way as to guarantee strong correlation between the outdegree and occupancy rate (a stochastic measure potentially related to activation) of each cortical area. Possible organizational principles underlying this effect are identified and discussed.
dc.description4 pages, 1 figure
dc.identifierhttps://arxiv.org/abs/q-bio/0602021
dc.identifierhttp://arxiv.org/abs/q-bio/0602021
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/109275
dc.subjectNeurons and Cognition
dc.subjectDisordered Systems and Neural Networks
dc.subjectComputational Physics
dc.titleStructured thalamocortical connectivity revealed by random walks on complex networks
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