• Click on the titles of individual talks for abstract, slides and archived video.

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Coffee and Check-In
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Opening Remarks
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Three Principles of Data Science: Predictability, Stability, and Computability
Bin Yu, UC Berkeley
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Break
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Dynamic Modeling and Control of Multiscale Brain Networks
Maryam Shanechi, University of Southern California
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Discussion
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Lunch
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Decoding and Modeling the Brain’s Navigational Circuits
I, la Fiete, University of Texas at Austin
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Break
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Cortical Travelling Waves: Mechanisms and Computational Principles
Terry Sejnowski, Salk Institute
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Discussion
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Reception
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Coffee and Check-In
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Computational Geometry of Cortical Networks: Manifold-Embedding Analysis of Multi-Site Recordings, Connectomic Graphs, and Deep Learning Networks
Clay Reid, Allen Institute for Brain Science
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Break
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Flows Reveal Hidden Dimensions in Mouse Visual Cortex
Steven Zucker, Yale University
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Discussion
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Lunch
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Automated Reconstruction of Synaptic-Resolution Neural Wiring Diagrams Using Large Scale Computation and Machine Learning
Viren Jain, Google
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Break
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TBA
Misha Ahrens, Janelia
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Discussion
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Coffee and Check-In
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Physiological Measures of Information Flow in Sensing-Acting Cycles
Naftali Tishby, Hebrew University of Jerusalem
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Break
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Cortical Areas Interact through a Communication Subspace
Christian Machens, Champalimaud Research
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Discussion
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Lunch
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Similarity Alignment: A Missing Link Between Structure, Function and Algorithms
Mitya Chklovskii, Simons Foundation
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Break
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Discussion
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Coffee and Check-In
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Tracing, Intercepting and Modeling Communication in the Brain
Fritz Sommer, UC Berkeley
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Break
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Inferring Single-Trial Neural Population Dynamics Using Sequential Auto-Encoders
David Sussillo, Google
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Discussion
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Lunch
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Break
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Walk in the Hills