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Modelling the development of cortical systems networks

Lookup NU author(s): Professor Marcus Kaiser

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Abstract

The brain shows a highly specific structural organization, also in its connectivity. How may genetic specification or epigenetic self-organization influence the layout of cortical systems networks? We developed a computational model of spatial network growth to investigate the conditions leading to similar network density and clustering as found in the cortical connectivity of cat and macaque monkey. An essential factor in the model was the introduction of spatial borders. We further compared metric aspects of wiring in the macaque brain and the simulated networks, which suggest that cortical networks may trade perfect minimal wiring length for shorter average shortest paths among cortical areas.

Publication metadata

Author(s): Kaiser M, Hilgetag CC

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Neurocomputing: Paper presented at the Computational Neuroscience Meeting (CNS)

Year of Conference: 2004

Pages: 297-302

ISSN: 0925-2312

Publisher: Elsevier BV

URL: http://dx.doi.org/10.1016/j.neucom.2004.01.059

DOI: 10.1016/j.neucom.2004.01.059

Library holdings: Search Newcastle University Library for this item

ISBN: 18728286

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