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<p style="margin-top:0px; margin-bottom:0px">Just a reminder of today's CTN Seminar at 3:30 p.m. in Zoom. Details are below.</p>
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<p style="margin-top:0px; margin-bottom:0px">Regards,</p>
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Sue Ann</p>
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Hello Everyone,
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<div class="x_ContentPasted0">The next CTN Seminar will take place one week from today:</div>
<div class="x_ContentPasted0"> <b>Tuesday, February 7 at 3:30 p.m. </b>(Note the change in time).</div>
<div class="x_ContentPasted0"><a href="https://faculty.washington.edu/etsb/" data-auth="NotApplicable" title="https://faculty.washington.edu/etsb/" data-loopstyle="link">Prof. Eric Shea-Brown</a> from the University of Washington will be joining us remotely.
Details are given below.</div>
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<div class="x_ContentPasted0 x_ContentPasted1">Meeting link: </div>
<div class="x_ContentPasted0 x_ContentPasted1"><a href="https://uwaterloo.zoom.us/j/99667335611?pwd=L3NXU08xVHovK1ZrTGZ4VmVpQ3JxZz09" data-auth="NotApplicable">https://uwaterloo.zoom.us/j/99667335611?pwd=L3NXU08xVHovK1ZrTGZ4VmVpQ3JxZz09</a><br class="x_ContentPasted1">
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<div class="x_ContentPasted0"><b>Title:</b> When do high dimensional networks learn to produce low dimensional dynamics?</div>
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<div class="x_ContentPasted0"><b>Abstract:</b> Neural networks in biology and in engineering have tremendous numbers of interacting units, yet often produce dynamics with many fewer degrees of freedom — that is, of low dimensionality. We explore when general
network learning rules tend to produce such low dimensional dynamics. We demonstrate two main applications, in networks producing highly compressed representations that may support generalization, and in networks extracting latent variables that may efficiently
describe more complex environments.</div>
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<div class="x_ContentPasted0">Regards,</div>
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<div class="x_ContentPasted0">Sue Ann</div>
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_______________________________________________</p>
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Dr. Sue Ann Campbell (she/her)</p>
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Professor and University Research Chair</p>
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Department of Applied Mathematics, University of Waterloo</p>
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Waterloo ON N2L 3G1</p>
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<a href="https://www.math.uwaterloo.ca/~sacampbe/" data-auth="NotApplicable" class="x_OWAAutoLink">https://www.math.uwaterloo.ca/~sacampbe/</a></p>
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President-Elect, <a href="https://caims.ca/" data-auth="NotApplicable" title="https://caims.ca/" data-loopstyle="link" style="font-family:Calibri,Helvetica,sans-serif; font-size:12pt">Canadian Applied and Industrial Mathematics Society</a></p>
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<i>I acknowledge that I live and work on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. The University of Waterloo main campus is located on the Haldimand tract, the land granted to the Six Nations that includes six miles
on each side of the Grand River.</i></p>
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