A roadmap to computational social neuroscience View Full Text


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Article Info

DATE

2018-02

AUTHORS

Emmanuelle Tognoli, Guillaume Dumas, J. A. Scott Kelso

ABSTRACT

To complement experimental efforts toward understanding human social interactions at both neural and behavioral levels, two computational approaches are presented: (1) a fully parameterizable mathematical model of a social partner, the Human Dynamic Clamp which, by virtue of experimentally controlled interactions between Virtual Partners and real people, allows for emergent behaviors to be studied; and (2) a multiscale neurocomputational model of social coordination that enables exploration of social self-organization at all levels-from neuronal patterns to people interacting with each other. These complementary frameworks and the cross product of their analysis aim at understanding the fundamental principles governing social behavior. More... »

PAGES

135-140

References to SciGraph publications

  • 2011-01. Emerging concepts for the dynamical organization of resting-state activity in the brain in NATURE REVIEWS NEUROSCIENCE
  • 2008. EEG Coordination Dynamics: Neuromarkers of Social Coordination in COORDINATION: NEURAL, BEHAVIORAL AND SOCIAL DYNAMICS
  • 2010-10-22. Interacting Humans and the Dynamics of Their Social Brains in ADVANCES IN COGNITIVE NEURODYNAMICS (II)
  • 2005-06. The cortex as a central pattern generator in NATURE REVIEWS NEUROSCIENCE
  • 2007. Toward a Complementary Neuroscience: Metastable Coordination Dynamics of the Brain in NEURODYNAMICS OF COGNITION AND CONSCIOUSNESS
  • 1985-02. A theoretical model of phase transitions in human hand movements in BIOLOGICAL CYBERNETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11571-017-9462-0

    DOI

    http://dx.doi.org/10.1007/s11571-017-9462-0

    DIMENSIONS

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    PUBMED

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