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Coffee and Check-In
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Opening Remarks
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A View of Cortex from the Thalamus
Murray Sherman (University of Chicago)
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The Computational Role of the Feedback from V1 to LGN
Reza Eghbali (University of Washington)
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Break
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Inferring Functionality from Network Structure of the Mesoscopic Mouse Brain Connectome
Hannah Choi (University of Washington)
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Discussion
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Lunch
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The Cerebellum as Neural Associative Memory
Pentti Kanerva (UC Berkeley)
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Break
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Cortical Spike Coding Using Gamma Frequency Latencies
Dana Ballard (University of Texas at Austin)
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Discussion
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Reception
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Coffee and Check-In
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Random Projection and the Assembly Hypothesis
Santosh Vempala (Georgia Institute of Technology)
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A Theory of Gating in Random Neuronal Networks
Kamesh Krishnamurthy (Princeton University )
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Break
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How Noise during Training Affects the Hessian Spectrum
David Schwab (City University of New York)
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Discussion
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Lunch
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A Calculus for Brain Computation
Christos Papadimitriou (Columbia University)
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Break
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Walk in the Hills
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Coffee and Check-In
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Robust Computing with Rhythms and Spike Times
Fritz Sommer (UC Berkeley)
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Resonating Circuits for Factorizing High-dimensional Vectors
Bruno Olshausen (UC Berkeley)
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Break
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Efficient Coding and the Evolution of Semantic Systems
Noga Zaslavsky (Hebrew University of Jerusalem)
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Discussion
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Lunch
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The Hebbian-Descent Learning Rule
Laurenz Wiskott (Ruhr-Universität Bochum)
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Playing with PredNets
Antonina Kolokolova (Memorial University of Newfoundland)
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Break
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Neural Empirical Bayes
Saeed Saremi (UC Berkeley)
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Discussion
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Coffee and Check-In
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Organized Group Discussions