<div dir="ltr"><div class="gmail_quote"><br><br><div lang="EN-US" link="#0563C1" vlink="#954F72"><div class="m_840606864955475300WordSection1"><p class="MsoNormal" style="background:white"><a href="https://statistics.yale.edu/" title="Department of Statistics and Data Science
" target="_blank"><span style="font-size:22.0pt;font-family:"Lucida Sans",sans-serif;color:#286dc0;text-decoration:none"><img border="0" width="150" height="49" style="width:1.5625in;height:.5104in" id="m_840606864955475300logo" src="cid:168e75aa5974ce8e91" alt="Department of Statistics and Data Science
"></span></a>  <a href="https://statistics.yale.edu/" title="Home" target="_blank"><b><span style="font-size:22.0pt;font-family:"Lucida Sans",sans-serif;color:#286dc0;text-decoration:none">Department of Statistics and Data Science </span></b></a><span style="font-size:22.0pt;font-family:"Lucida Sans",sans-serif;color:#222222"><u></u><u></u></span></p><h1 style="margin-right:0in;margin-bottom:0in;margin-left:0in;margin-bottom:.0001pt;background:white"><span style="font-family:Mallory;color:#003c76;text-transform:uppercase;font-weight:normal">ALAN COWEN</span><span style="font-size:13.5pt;font-family:Mallory;color:#222222">, <span class="m_840606864955475300odd">University of California, Berkeley</span></span><span style="font-size:13.5pt;font-family:Mallory;color:#222222;font-weight:normal"><u></u><u></u></span></h1><p class="MsoNormal" style="background:white"><u></u><img width="199" height="239" style="width:2.0729in;height:2.4895in" src="cid:168e75aa597772f6c2" align="left" hspace="12" alt="https://statistics.yale.edu/sites/default/files/styles/user_picture_node/public/alan_cowen.jpg?itok=EAgLMs64"><u></u><span style="font-size:13.5pt;font-family:Mallory"><u></u><u></u></span></p><p class="MsoNormal" style="background:white"><span class="m_840606864955475300date-display-single"><span style="font-size:13.5pt;font-family:Mallory">Date: Thursday, February 14, 2019<u></u><u></u></span></span></p><p class="MsoNormal" style="background:white"><span class="m_840606864955475300date-display-start"><span style="font-size:13.5pt;font-family:Mallory">Time: 4:00PM</span></span><span class="m_840606864955475300date-display-range"><span style="font-size:13.5pt;font-family:Mallory"> to </span></span><span class="m_840606864955475300date-display-end"><span style="font-size:13.5pt;font-family:Mallory">5:15PM</span></span><span style="font-size:13.5pt;font-family:Mallory"><u></u><u></u></span></p><p class="MsoNormal" style="background:white"><span class="m_840606864955475300fn"><span style="font-size:13.5pt;font-family:Mallory">Location: Mason Laboratory</span></span><span style="font-size:13.5pt;font-family:Mallory"> </span><span class="m_840606864955475300map-icon"><span style="font-size:12.5pt;font-family:Mallory;color:#222222;letter-spacing:.6pt"><a href="http://maps.google.com/?q=9+Hillhouse+Avenue%2C+Rm.+211%2C+New+Haven%2C+%2C+%2C+us" target="_blank"><span style="color:#286dc0">see map</span></a> </span></span><span style="font-size:13.5pt;font-family:Mallory;color:#222222"><u></u><u></u></span></p><p class="MsoNormal" style="background:white"><span style="font-size:13.5pt;font-family:Mallory;color:#222222">9 Hillhouse Avenue, Rm. 211<u></u><u></u></span></p><p class="MsoNormal" style="background:white"><span class="m_840606864955475300locality"><span style="font-size:13.5pt;font-family:Mallory;color:#222222">New Haven</span></span><span style="font-size:13.5pt;font-family:Mallory;color:#222222"><u></u><u></u></span></p><p class="MsoNormal" style="background:white"><span style="font-size:13.5pt;font-family:Mallory;color:#222222"><a href="https://www.alancowen.com/" target="_blank"><span style="font-size:12.0pt;color:#003c76">Website</span></a><u></u><u></u></span></p><p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:Mallory;color:#222222"><u></u> <u></u></span></b></p><p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:Mallory;color:#222222"><u></u> <u></u></span></b></p><p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:Mallory;color:#222222"><u></u> <u></u></span></b></p><p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:Mallory;color:#222222"><u></u> <u></u></span></b></p><p class="MsoNormal" style="background:white"><b><span style="font-size:15.0pt;font-family:Mallory;color:#222222">Title: A Computational Approach to Emotion<u></u><u></u></span></b></p><p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:Mallory;color:#222222"><u></u> <u></u></span></b></p><p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:Mallory;color:#222222">Information and Abstract: <u></u><u></u></span></b></p><p style="margin:0in;margin-bottom:.0001pt;text-align:justify;line-height:150%;background:white;box-sizing:inherit"><span style="font-size:13.5pt;line-height:150%;font-family:Mallory;color:#222222">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.<u></u><u></u></span></p><p class="MsoNormal" style="line-height:18.0pt;background:white"><span style="font-size:13.5pt;font-family:Mallory;color:#222222"><u></u> <u></u></span></p><p class="MsoNormal" style="line-height:18.0pt;background:white"><a><b><span style="font-size:16.0pt;font-family:Mallory;color:red;text-decoration:none">3:45 p.m.</span></b></a><b><span style="font-size:16.0pt;font-family:Mallory;color:red">   Pre-talk tea Dunham Lab, Suite 222, Breakroom 228<u></u><u></u></span></b></p><p class="MsoNormal" style="background:white;vertical-align:baseline"><span style="font-size:12.0pt;font-family:Mallory">For more details and upcoming events visit our website at </span><a href="http://statistics.yale.edu/" target="_blank"><span style="font-size:12.0pt;font-family:Mallory;color:#0563c1">http://statistics.yale.edu/</span></a><span style="font-size:12.0pt;font-family:Mallory"> .<u></u><u></u></span></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> </p></div></div>
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