• 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
Video
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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
Video
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Break
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Cortical Travelling Waves: Mechanisms and Computational Principles

Terry Sejnowski, Salk Institute
Video
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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
Video
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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
Video
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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
Video
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Break
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Cortical Areas Interact through a Communication Subspace

Christian Machens, Champalimaud Research
Video
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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
Video
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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
Video
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Break
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Inferring Single-Trial Neural Population Dynamics Using Sequential Auto-Encoders

David Sussillo, Google
Video
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Discussion
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Lunch
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Break
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Walk in the Hills