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Gordon Berman, Emory University
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Use of TSAR, Thermal Shift Analysis in R, to Identify Metabolic Acid Molecules that In...
A Comprehensive Pipeline for Reliable Multi-Animal Position Tracking During Mouse Soci...
Slow Geophysical Flows of Complex Particulate Matter
Flexible Coordination Patterns of Rat Forelimb Motor Units Across Locomotion Speeds
Analysis of Avalanches in the Landscape of Disordered Systems
Widefield cortical voltage imaging reveals fast network activity dynamics during locom...
Overcoming Spatiotemporal Trade-offs in Calcium Imaging Using Deep Learning-based Dyna...
Learning new physics from biology and data
Long Time Scales and Hierarchical Structure in Drosophila Behavior
Using Deep-Learning Based Approaches to Quantify Drosophila Behaviors
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Spring 2019
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Emory College
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Laney Graduate School
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Physics
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Biological and Biomedical Sciences
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Committee
Gordon Berman, Emory University
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21
Ilya Nemenman, Emory University
8
Samuel Sober, Emory University
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Stefan Boettcher, Emory University
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Eric Weeks, Emory University
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KPZ
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Machine Learning
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Songbird
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aging
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Animal Behavior
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