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My Asilomar 2019 Schedule

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Technical Program

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TP5a: Deep Learning and Neuroscience (Invited)

Session Type: Oral
Time: Tuesday, November 5, 13:30 - 15:10
Location: Scripps
Session Chair: Eva Dyer, Georgia Tech
 
  TP5a-1: MODELING VARIABILITY IN BRAIN ARCHITECTURE WITH DEEP FEATURE LEARNING
         Aishwarya Balwani; Georgia Institute of Technology
         Eva Dyer; Georgia Institute of Technology
 
  TP5a-2: REVERSE ENGINEERING NEURAL NETWORKS TO UNDERSTAND HOW TO REVERSE ENGINEER BRAINS
         Konrad Kording; University of Pennsylvania
         David Rolnick; UPenn
 
  TP5a-3: SYNTHETIC POWER ANALYSES: EMPIRICAL EVALUATION AND APPLICATION TO COGNITIVE NEUROIMAGING
         Peiye Zhuang; University of Illinois at Urbana-Champaign
         Bliss Chapman; University of Illinois at Urbana-Champaign
         Ran Li; University of Illinois at Urbana-Champaign
         Sanmi Koyejo; University of Illinois at Urbana-Champaign
 
  TP5a-4: TRANSFER LEARNING ANALYSIS OF IMAGE PROCESSING WORKFLOWS FOR ELECTRON MICROSCOPY DATASETS
         Erik Johnson; Johns Hopkins University Applied Physics Laboratory
         Luis Rodriguez; Johns Hopkins University Applied Physics Laboratory
         Raphael Norman-Tenazas; Johns Hopkins University Applied Physics Laboratory
         Daniel Xenes; Johns Hopkins University Applied Physics Laboratory
         William Gray-Roncal; Johns Hopkins University Applied Physics Laboratory