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计算神经科学方法在社会认知中的应用。

Computational neuroscience approaches to social cognition.

机构信息

Department of Psychology, Stanford University, Jordan Hall, 450 Serra Mall, Stanford, CA 94305, USA.

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.

出版信息

Curr Opin Psychol. 2018 Dec;24:92-97. doi: 10.1016/j.copsyc.2018.09.001. Epub 2018 Sep 11.

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.

摘要

我们如何形成对个人和群体的印象,并利用这些印象来指导我们的行为?从一开始,社会神经科学就一直试图阐明这种复杂的社会认知形式,最近,计算建模的应用为阐明社会认知的具体过程并将这些过程与神经活动和行为联系起来提供了一个框架。我们提供了一个关于计算建模方法的入门介绍,并描述了它如何被用来阐明印象形成、社会学习、道德决策和群体间偏见的心理和神经机制。

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