Monday, March 16, 09:00 AM - 05:45 PM
09:00 AM - 09:45 AM Yoshi Aso (HHMI Janelia), Mushroom Body Output Neurons Encode Valence and Guide Memory-based Action Selection
09:45 AM - 10:30 AM Barbara Webb (University of Edinburgh), A Computational Model of the Insect Mushroom Body Applied to Ant Navigation
10:30 AM - 11:00 AM Co↵ee Break
11:00 AM - 11:45 AM Wolfgang Maass (Graz University of Technology), A New Perspective of Synaptic Plasticity and Network Rewiring
11:45 AM - 12:30 PM Charles Randy Gallistel (Rutgers University), The Memory Coding Problem
12:30 PM - 02:00 PM Lunch Break
02:00 PM - 02:45 PM Charles D. Gilbert (Rockefeller University), The Dynamic Brain
02:45 PM - 03:30 PM Stefan Mihalas (Allen Institute for Brain Science), Computational Properties of Cortical Columns
03:30 PM - 04:00 PM Afternoon Break
04:00 PM - 04:45 PM Gary F. Marcus (New York University), The Atoms of Neural Computation
04:45 PM - 05:45 PM Panel Discussion: What Would a Good Theory of the Brain Actually Look Like?
Tuesday, March 17, 09:00 AM - 05:45 PM
09:00 AM - 09:45 AM Vivek Jayaraman (HHMI Janelia), A Donut that Means the World to the Fly
09:45 AM - 10:30 AM Daniel Coca (University of Sheffield), Fly Photoreceptors Detect Phase Congruency
10:30 AM - 11:00 AM Co↵ee Break
11:00 AM - 11:45 AM Damon A. Clark (Yale University), Tuning Neural Nonlinearities for Naturalistic Visual Motion Estimation
11:45 AM - 12:30 PM Aurel A. Lazar (Columbia University), Neurokernel: Building an in Silico Fruit Fly Brain
12:30 PM - 02:00 PM Lunch Break
02:00 PM - 02:45 PM Anthony Leonardo (HHMI Janelia), Neural Circuits Underlying Internal Models in Predictive Motor Control
02:45 PM - 03:30 PM Fabrizio Gabbiani (Baylor College of Medicine), Biophysics and Neural Computations Underlying Visually-Guided Collision Avoidance Behaviors
03:30 PM - 04:00 PM Afternoon Break
04:00 PM - 04:45 PM Dmitri ”Mitya” B. Chklovskii (Simons Foundation), A Biological Neuron as an Online Matrix Factorization Device
04:45 PM - 05:45 PM Panel Discussion: A Neuroscience Esperanto: Building a Better Bridge Between Modeling and Experimental Neurobiology