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Structure, Stability, Dynamics, and Geometry in Brain Networks

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Advances in Cognitive Neurodynamics (III)

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Abstract

The role of physical and geometrical constraints in determining structure of brain networks is outlined. It is shown that requirements imposed by dynamics, stability, and network geometry strongly constrain possible networks to structures that strongly resemble those found in real brains.

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Acknowledgements

I thank J. Henderson and D. Gummersal for modifying some figures. The Australian Research Council supported this work.

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Authors and Affiliations

  1. School of Physics, University of Sydney, Sydney, NSW, 2006, Australia

    Peter A. Robinson

  2. Brain Dynamics Center, Sydney Medical School—Western, University of Sydney, Westmead, NSW, 2145, Australia

    Peter A. Robinson

Authors
  1. Peter A. Robinson
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Corresponding author

Correspondence to Peter A. Robinson .

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Editors and Affiliations

  1. Lab. for Dynamics of Emergent Intelligen, RIKEN Brain Science Institute Lab. for Dynamics of Emergent Intelligen, Wako City, Japan

    Yoko Yamaguchi

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Robinson, P.A. (2013). Structure, Stability, Dynamics, and Geometry in Brain Networks. In: Yamaguchi, Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4792-0_4

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