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DTSTART;TZID=America/New_York:20261021T140000
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DTSTAMP:20261014T152454Z
CREATED:20260729T194008Z
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UID:10004014-1792591200-1792594800@cmsa.fas.harvard.edu
SUMMARY:Local learning needs dendrites
DESCRIPTION:New Technologies in Mathematics Seminar \nSpeaker: Riccardo Zecchina (Bocconi University) \nTitle: Local learning needs dendrites \nAbstract: I will present a learning scheme for recurrent networks in which nonlinear dendrites enable learning by generating and stabilizing task-relevant attractors within a representation manifold. The scheme is local in space and time and matches the performance of backpropagation through time on the same architecture\, while following a fundamentally different trajectory in weight space. Statistical physics reveals how dendritic gating and the geometry of the representation manifold support this alternative route to learning.
URL:https://cmsa.fas.harvard.edu/event/newtech_102126/
LOCATION:CMSA Room G10\, CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:New Technologies in Mathematics Seminar
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/2026/10/CMSA-NTM-Seminar-10.21.2026.docx-scaled.png
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