[Sds-seminars] S&DS talk, Thursday, 2/14, Alan Cowen, "A Computational Approach to Emotion", ML 211

[Dan Spielman]

[image: Department of Statistics and Data Science]
<https://statistics.yale.edu/>  *Department of Statistics and Data Science *
<https://statistics.yale.edu/>
ALAN COWEN, University of California, Berkeley

[image:
https://statistics.yale.edu/sites/default/files/styles/user_picture_node/public/alan_cowen.jpg?itok=EAgLMs64]

Date: Thursday, February 14, 2019

Time: 4:00PM to 5:15PM

Location: Mason Laboratory see map
<http://maps.google.com/?q=9+Hillhouse+Avenue%2C+Rm.+211%2C+New+Haven%2C+%2C+%2C+us>


9 Hillhouse Avenue, Rm. 211

New Haven

Website <https://www.alancowen.com/>









*Title: A Computational Approach to Emotion*



*Information and Abstract: *

What are the emotions? I will present a data-driven framework that
distinguishes the dimensionality, distribution, and conceptualization of
emotion-related responses. Guided by this framework, large-scale
investigations of emotional experience and expression reveal that
emotion-related responses are high-dimensional, involve gradients between
categories traditionally thought of as discrete (e.g., ‘fear’, ‘disgust’),
and cannot be reduced to widely used domain-general scales (valence,
arousal, etc.). These findings have guided advances in machine learning and
affective neuroscience. I will describe how we have used deep neural
networks to investigate the meanings of distinct dimensions of facial
expression by analyzing millions of hours of naturalistic video from around
the world, and how brain imaging studies are beginning to uncover
convergent evidence that nuanced emotional experiences are represented in
specific regions along the cortical surface. Computational approaches have
paved the way for more refined and nuanced answers to central questions
about the meanings, algorithms, and mechanisms of human emotion-related
responses.



*3:45 p.m.**   Pre-talk tea Dunham Lab, Suite 222, Breakroom 228*

For more details and upcoming events visit our website at
http://statistics.yale.edu/ .
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