Functional Integration and Segregation in Corticocortical Networks
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1
University of Potsdam, Center for Dynamics of Complex Systems, Germany
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2
Humbold University, Bernstein Center for Computational Neuroscience, Germany
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3
Humbold University, Department of Physics, Germany
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4
Hong Kong Baptist University, Departmnet of Physics, China
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5
Potsdam Institute for Climate Impact Research, Transdisciplinary concepts and methods, Germany
It has been proposed that the architecture of corticocortical networks may support the capacity of the brain to simultaneously segregate and integrate in- formation. Here, we confront the concept of integration, which is rarely addressed in the literature of information theory, to cross-validate the functional implications assigned to such networks. With this study, we resolve the underlying anatomical substrate that supports the simultaneous capacity of the cortex to segregate and integrate multisensory information. Our findings are in agreement, from an anatomical perspective, with modern models which propose that high-level brain functions emerge from interactive and overlapping networks of neurones which trascend any of the traditional subdivisions of the cortex by structural (cytoarchytecture) and functional criteria. Additionaly, we find that cortical areas can be classified in terms of their multisen- sory connectivity as: (i) unimodal areas – specialised in one sensory modality, (ii) multimodal areas – specialised areas with influence from other sensory information, and (iii) supramodal hubs – highly connected areas which form the top hiearachical level with the capacity to integrate multisensory information and to perform high level executive control in a collaborative manner.
Keywords:
computational neuroscience
Conference:
Bernstein Conference on Computational Neuroscience, Berlin, Germany, 27 Sep - 1 Oct, 2010.
Presentation Type:
Poster Abstract
Topic:
Bernstein Conference on Computational Neuroscience
Citation:
Zamora-López
G,
Zhou
C and
Kurths
J
(2010). Functional Integration and Segregation in Corticocortical Networks.
Front. Comput. Neurosci.
Conference Abstract:
Bernstein Conference on Computational Neuroscience.
doi: 10.3389/conf.fncom.2010.51.00139
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Received:
24 Sep 2010;
Published Online:
24 Sep 2010.
*
Correspondence:
Dr. Gorka Zamora-López, University of Potsdam, Center for Dynamics of Complex Systems, Potsdam, Germany, author@zamora-lopez.xyz