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Workshop

NITMB Scientific Focus: Theory and Mathematics in Neuroscience – Probabilistic Inference in Neuroscience Workshop

875 North Michigan Avenue
Chicago, IL 60611 United States
TRAVEL Applications Deadline closed
LOCAL Applications Deadline closed

Workshop Organizers

Adrienne Fairhall, University of Washington 
Dmitri Chklovskii, Flatiron Institute
Joshua Glaser, Northwestern University
Andrew Miri, Northwestern University
Stephanie Palmer, University of Chicago
Suriyanarayanan Vaikuntanathan, University of Chicago
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Overview

Part of the NITMB Scientific Focus: Theory and Mathematics in Neuroscience

This workshop will explore the intersection of probabilistic inference and neuroscience, highlighting approaches for extracting probabilistic models from ever-larger neural datasets and for understanding how the brain itself does inference. The workshop will explore themes including: Learning of internal models of the environment;  Decision-making from inferred probabilities; Probabilistic model inference using neurons; Information bottleneck in neurons; Stochastic dynamics in neural computation; Unsupervised learning; and Fitting probabilistic models to large-scale neural recordings. The workshop program will include invited talks, focused discussions, and informal exchange seeking to develop unifying frameworks of probabilistic inference within neuroscience.