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SUMMARY:Kathryn Hess (EPFL)
DTSTART:20240606T160000Z
DTEND:20240606T170000Z
DTSTAMP:20260423T003300Z
UID:MPML/113
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MPML/113/">O
 f mice and men</a>\nby Kathryn Hess (EPFL) as part of Mathematics\, Physic
 s and Machine Learning (IST\, Lisbon)\n\n\nAbstract\nMotivated by the desi
 re to automate classification of neuron morphologies\, we designed a topol
 ogical signature\, the Topological Morphology Descriptor (TMD)\, that assi
 gns a "barcode" to any any finite binary tree embedded in ${\\mathbb R}^3$
 . Using the TMD we performed an objective\, stable classification of pyram
 idal cells in the rat neocortex\, based only on the shape of their dendrit
 es.\n\nIn this talk\, I will introduce the TMD\, then focus on a very rece
 nt application to comparing mouse and human cortical neurons and character
 izing the differences between them. I'll also briefly discuss the role of 
 machine learning in our work.\n\nThis talk is based on collaborations led 
 by Lida Kanari of the Blue Brain Project.\n
LOCATION:https://researchseminars.org/talk/MPML/113/
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