–
Coffee and Check-In
–
Opening Remarks
–
A View of Cortex from the Thalamus

Murray Sherman (University of Chicago)
–
The Computational Role of the Feedback from V1 to LGN

Reza Eghbali (University of Washington)
–
Break
–
Inferring Functionality from Network Structure of the Mesoscopic Mouse Brain Connectome

Hannah Choi (University of Washington)
–
Discussion
–
Lunch
–
The Cerebellum as Neural Associative Memory

Pentti Kanerva (UC Berkeley)
–
Break
–
Cortical Spike Coding Using Gamma Frequency Latencies

Dana Ballard (University of Texas at Austin)
–
Discussion
–
Reception
–
Coffee and Check-In
–
Random Projection and the Assembly Hypothesis

Santosh Vempala (Georgia Institute of Technology)
–
A Theory of Gating in Random Neuronal Networks

Kamesh Krishnamurthy (Princeton)
–
Break
–
How Noise during Training Affects the Hessian Spectrum

David Schwab (City University of New York)
–
Discussion
–
Lunch
–
A Calculus for Brain Computation

Christos Papadimitriou (Columbia University)
–
Break
–
Walk in the Hills
–
Coffee and Check-In
–
Robust Computing with Rhythms and Spike Times

Fritz Sommer (UC Berkeley)
–
Resonating Circuits for Factorizing High-dimensional Vectors

Bruno Olshausen (UC Berkeley)
–
Break
–
Efficient Coding and the Evolution of Semantic Systems

Noga Zaslavsky (Hebrew University of Jerusalem)
–
Discussion
–
Lunch
–
The Hebbian-Descent Learning Rule

Laurenz Wiskott (Ruhr-Universität Bochum)
–
Playing with PredNets

Antonina Kolokolova (Memorial University of Newfoundland)
–
Break
–
Neural Empirical Bayes

Saeed Saremi (UC Berkeley)
–
Discussion
–
Coffee and Check-In
–
Organized Group Discussions