Your browser doesn't support javascript.
loading
Computational neuroscience approaches to social cognition.
Hackel, Leor M; Amodio, David M.
Affiliation
  • Hackel LM; Department of Psychology, Stanford University, Jordan Hall, 450 Serra Mall, Stanford, CA 94305, USA. Electronic address: lhackel@stanford.edu.
  • Amodio DM; Department of Psychology, New York University, 6 Washington Place, New York, NY 10003, USA; Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129, REC G, 1001 NK Amsterdam, NL. Electronic address: david.amodio@nyu.edu.
Curr Opin Psychol ; 24: 92-97, 2018 12.
Article in En | MEDLINE | ID: mdl-30388495
ABSTRACT
How do we form impressions of people and groups and use these representations to guide our actions? From its inception, social neuroscience has sought to illuminate such complex forms of social cognition, and recently these efforts have been invigorated by the use of computational modeling. Computational modeling provides a framework for delineating specific processes underlying social cognition and relating them to neural activity and behavior. We provide a primer on the computational modeling approach and describe how it has been used to elucidate psychological and neural mechanisms of impression formation, social learning, moral decision making, and intergroup bias.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Social Behavior / Brain / Cognition / Decision Making / Morals Type of study: Prognostic_studies Aspects: Determinantes_sociais_saude Limits: Humans Language: En Journal: Curr Opin Psychol Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Social Behavior / Brain / Cognition / Decision Making / Morals Type of study: Prognostic_studies Aspects: Determinantes_sociais_saude Limits: Humans Language: En Journal: Curr Opin Psychol Year: 2018 Document type: Article