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Towards a computational social and affective neuroscience

Luke Chang, Ph.D.

December 9(Thu) - December 9(Thu), 2021

12PM

ZOOM (ID: 728-142-6028)

Neuro@noon Seminar



Date:  12PM, Thursday, December 9th



Place: ZOOM  

ZOOM 회의 참가 ID: 728-142-6028



Speaker: Luke Chang, Ph.D.

(Department of Psychological and Brain Sciences, Dartmouth College)



 


 

 

Title: Towards a computational social and affective neuroscience

 

 

Abstract: Emotions reflect coordinated, multi-system responses to events and situations relevant to survival and well-being. These responses ​emerge from appraisals of personal meaning that reference one’s goals, memories, internal body states, and beliefs about the world. Dysregulation of emotions is central to many brain and body-related disorders, making it of paramount importance to understand the neurobiological mechanisms that govern emotional experiences. Unfortunately, the field of emotion has struggled to reliably elicit and measure affective experiences, which has limited theoretical developments. One of the main focuses of our laboratory is to use a computational cognitive neuroscience framework to develop models of affective experiences. In this talk, I will present examples of how we can combine naturalistic elicitation of feelings with pattern-based neuroimaging analyses to develop brain-based models of affect. These models appear to generalize across individuals and can aid in revealing the temporal dynamics of individual affective experiences. We hope that this interdisciplinary work will aid in facilitating a more cumulative and extensible science of emotion.