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Research Article

Efficient Physical Embedding of Topologically Complex Information Processing Networks in Brains and Computer Circuits

  • Danielle S. Bassett equal contributor mail,

    equal contributor Contributed equally to this work with: Danielle S. Bassett, Daniel L. Greenfield

    dbassett@physics.ucsb.edu (DSB); etb23@cam.ac.uk (ETB)

    Affiliations: Department of Physics, University of California Santa Barbara, Santa Barbara, California, United States of America, Institute for Collaborative Biotechnologies, University of California Santa Barbara, Santa Barbara, California, United States of America, Behavioral & Clinical Neurosciences Institute, Department of Psychiatry, University of Cambridge, Cambridge United Kingdom, Genes, Cognition, and Psychosis Program, Clinical Brain Disorders Branch, National Institute of Mental Health, Bethesda, Maryland, United States of America

    X
  • Daniel L. Greenfield equal contributor,

    equal contributor Contributed equally to this work with: Danielle S. Bassett, Daniel L. Greenfield

    Affiliation: Computer Laboratory, University of Cambridge, Cambridge, United Kingdom

    X
  • Andreas Meyer-Lindenberg,

    Affiliation: Central Institute of Mental Health, Mannheim, Germany

    X
  • Daniel R. Weinberger,

    Affiliation: Genes, Cognition, and Psychosis Program, Clinical Brain Disorders Branch, National Institute of Mental Health, Bethesda, Maryland, United States of America

    X
  • Simon W. Moore,

    Affiliation: Computer Laboratory, University of Cambridge, Cambridge, United Kingdom

    X
  • Edward T. Bullmore mail

    dbassett@physics.ucsb.edu (DSB); etb23@cam.ac.uk (ETB)

    Affiliation: Behavioral & Clinical Neurosciences Institute, Department of Psychiatry, University of Cambridge, Cambridge United Kingdom

    X
  • Published: April 22, 2010
  • DOI: 10.1371/journal.pcbi.1000748

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