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A Roadmap to Computational Social Neuroscience

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 with real people, allows for emergent behaviors to be studied; and (2) a multiscale neurocomputational model of social behavior 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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Contributor : Guillaume Dumas <>
Submitted on : Wednesday, July 6, 2016 - 6:27:25 PM
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  • HAL Id : pasteur-01342841, version 1

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Emmanuelle Tognoli, Guillaume Dumas, J.A. Scott Kelso. A Roadmap to Computational Social Neuroscience. 5th International Conference on Cognitive Neurodynamics, Jun 2015, Sanya, China. ⟨pasteur-01342841⟩

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