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Cognitive Neurodynamics

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07-12-2017 | Brief Communication

A roadmap to computational social neuroscience

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

Published in: Cognitive Neurodynamics | Issue 1/2018

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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.

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Title: A roadmap to computational social neuroscience
Authors: Emmanuelle Tognoli
Guillaume Dumas
J. A. Scott Kelso
Publication date: 07-12-2017
Publisher: Springer Netherlands
Published in: Cognitive Neurodynamics / Issue 1/2018
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-017-9462-0

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