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<p class="MsoNormal" style="margin-left:.5in">Dear all, <o:p></o:p></p>
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<p class="MsoNormal" style="margin-left:.5in"><o:p> </o:p></p>
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<p class="MsoNormal" style="margin-left:.5in">Please see attached the information about our OHBM 2020 Local Organizing Committee Symposium at the intersection of AI and Neuroscience, featuring Tal Arbel, Anna Schapiro and Blake Richards.
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<p class="MsoNormal" style="margin-left:.5in">The event will start at 10am on Thursday, as part of the
<a href="https://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3969">OHBM virtual conference</a> programme.
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<p class="MsoNormal" style="margin-left:.5in"><o:p> </o:p></p>
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<p class="MsoNormal" style="margin-left:.5in">All the best,<o:p></o:p></p>
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<p class="MsoNormal" style="margin-left:.5in">JB<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Symposium title : Prospects in artificial intelligence neuroscience<o:p></o:p></b></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Organizers:<o:p></o:p></p>
<p class="MsoNormal">Jean-Baptiste Poline, Julien Doyon, Alan Evans and the Local Organizing Committee<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Time: Thursday 25th, 10:00H New York, 15.00 London, 22.00H Hong Kong<o:p></o:p></b></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><a href="https://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3969">OHBM 20202 online meeting</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><u>Speakers<o:p></o:p></u></b></p>
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<p class="MsoNormal" style="margin-left:.25in">Tal Arbel<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">Affiliations: McGill University<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">Title: Modelling and Propagating Uncertainties in Machine Learning for Medical Images of Patients with Neurological Diseases<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in"><o:p> </o:p></p>
<p class="MsoNormal" style="margin-left:.25in">Anna Schapiro<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">Affiliations: University of Pennsylvania<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">Title: Learning distributed representations in the human brain<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in"><o:p> </o:p></p>
<p class="MsoNormal" style="margin-left:.25in">Blake Richards<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">Affiliations: MILA and McGill University<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">Title: Mapping the brain with loss functions<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">This symposium is gathering three world class specialists at the intersection of neuroscience,<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">brain imaging, and artificial intelligence, giving the audience an update on three key research<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">directions. First, Tal Arbel will describe approaches for modelling and propagating uncertainties<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">in deep learning predictions from brain images of patients with neurological diseases, a crucial<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">aspect for the integration and buy-in of these techniques in a clinical context. Anna Schapiro will<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">follow with her recent empirical and neural network modeling work, inspired by human<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">neuroimaging insights, that asks the question: how do we learn distributed representations?<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">Last, Blake Richards will combine neuroscience and machine learning to map out different<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">pathways of the visual cortex using some of the fundamental building blocks of machine<o:p></o:p></p>
<p class="MsoNormal" style="margin-left:.25in">learning.<o:p></o:p></p>
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