Home /  Theory of Neural Computation

Workshop

Theory of Neural Computation October 05, 2015 - October 07, 2015
Registration Deadline: October 27, 2015 almost 9 years ago
To apply for Funding you must register by: August 31, 2015 about 9 years ago
Parent Program: --
Location: SLMath: Eisenbud Auditorium, Atrium
Organizers Dmitri Chklovskii (Simons Foundation), David Eisenbud (University of California, Berkeley), Gary Marcus (New York University), LEAD Bruno Olshausen (University of California, Berkeley), Christos Papadimitriou (University of California, Berkeley), Terrence Sejnowski (Salk Institute for Biological Studies), Fritz Sommer (University of California, Berkeley)
Speaker(s)

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Description
The theme of this workshop is on bringing theory into the study of neural networks---those in brains and those in machines.  We will soon have the capability to monitor activity and structure in the brain at unprecedented scales, but what will these data tell us?  It is unlikely that we will gain insight without some theoretical framework to guide our thinking of what to look for, and why.  Similarly, neural network models can now perform feats of language translation and pattern recognition far beyond what was possible a few years ago; but they have yet to shed new light on neurobiological mechanisms in part because there is only a limited theory of such computations. What are likely candidates for such theories? Do they already exist? And what is needed to more tightly integrate theoretical frameworks with empirical approaches? There will be four overview talks on Monday to introduce these questions, followed by five talks each on Tuesday and Wednesday. Program is forthcoming. Poster Session: If you are interested in presenting a poster, please sign up by clicking HERE. Sponsors: Helen Wills Neuroscience Institute The Kavli Foundation The Mathematical Sciences Research Institute The Simons Institute for the Theory of Computing Redwood Center for Theoretical Neuroscience   Group Photo   
Keywords and Mathematics Subject Classification (MSC)
Primary Mathematics Subject Classification No Primary AMS MSC
Secondary Mathematics Subject Classification No Secondary AMS MSC
Funding & Logistics Show All Collapse

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To apply for funding, you must register by the funding application deadline displayed above.

Students, recent PhDs, women, and members of underrepresented minorities are particularly encouraged to apply. Funding awards are typically made 6 weeks before the workshop begins. Requests received after the funding deadline are considered only if additional funds become available.

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For information about recommended hotels for visits of under 30 days, visit Short-Term Housing. Questions? Contact coord@slmath.org.

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Schedule, Notes/Handouts & Videos
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Oct 05, 2015
Monday
08:45 AM - 09:00 AM
  Welcome/Intro
09:00 AM - 10:15 AM
  The Atoms of Neural Computation
Gary Marcus (New York University)
10:15 AM - 10:30 AM
  Break
10:30 AM - 11:45 AM
  Searching for Principles of Brain Computation
wolfgang maass (Graz University of Technology)
11:45 AM - 01:45 PM
  Poster + Lunch
01:45 PM - 03:00 PM
  A View of Cortex from the Thalamus
Murray Sherman (University of Chicago)
03:00 PM - 03:15 PM
  Tea
03:15 PM - 04:30 PM
  Deriving neural circuits from first principles
Mitya Chklovskii (Simons Foundation)
04:30 PM - 06:00 PM
  Reception
Oct 06, 2015
Tuesday
09:00 AM - 09:45 AM
  Understanding vision through the lens of prediction
Stephanie Palmer (University of Chicago)
09:45 AM - 10:30 AM
  Feedforward, lateral and feedback interactions s in visual cortex
Alessandra Angelucci (University of Utah)
10:30 AM - 10:45 AM
  Break
10:45 AM - 11:30 AM
  How far can Bayesian theories of vision take us
Daniel Kersten (University of Minnesota)
11:30 AM - 12:00 PM
  General discussion
12:00 PM - 02:00 PM
  Poster + Lunch
02:00 PM - 02:45 PM
  End-to-End Memory Networks
Rob Fergus (New York University, Courant Institute)
02:45 PM - 03:30 PM
  The Statistical Physics of Deep Learning
Surya Ganguli
03:30 PM - 03:45 PM
  Tea
03:45 PM - 04:30 PM
  General discussion
Oct 07, 2015
Wednesday
09:00 AM - 09:45 AM
  Why attention is important for decision making
Jackie Gottlieb (Columbia University)
09:45 AM - 10:30 AM
  The challenge of constructing a robust short-term memory network
Mark Goldman (University of California, Davis)
10:30 AM - 10:45 AM
  General discussion
10:45 AM - 10:45 AM
  Break
11:00 AM - 12:00 PM
  Bringing math into the loop
Carina Curto (Pennsylvania State University)
12:00 PM - 02:00 PM
  Poster + Lunch
02:00 PM - 02:45 PM
  Rosetta Brain Maps and What They Might Teach Us
Adam Marblestone (Massachusetts Institute of Technology)
02:45 PM - 03:30 PM
  Neural relativity principle
Alexei Koulakov (Cold Spring Harbor Lab)
03:30 PM - 03:45 PM
  Tea
03:45 PM - 04:30 PM
  General discussion