A roadmap to computational social neuroscience.
Cogn Neurodyn
; 12(1): 135-140, 2018 Feb.
Article
em En
| MEDLINE
| ID: mdl-29435093
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
Cogn Neurodyn
Ano de publicação:
2018
Tipo de documento:
Article
País de publicação:
HOLANDA
/
HOLLAND
/
NETHERLANDS
/
NL
/
PAISES BAJOS
/
THE NETHERLANDS