MO2.R6.1

Message-Relevant Dimension Reduction of Neural Populations

Amanda Merkley, Alice Nam, Kate Hong, Pulkit Grover, Carnegie Mellon University, United States
Session:
Information Theory in NeuroScience
Track:
17: Information and Coding in Biology
Location:
Sigma/Delta
Presentation Time:
Mon, 8 Jul, 11:50 - 12:10
Session Chair:
Pulkit Grover, Carnegie Mellon University
Presentation
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Discussion
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Session MO2.R6
MO2.R6.1: Message-Relevant Dimension Reduction of Neural Populations
Amanda Merkley, Alice Nam, Kate Hong, Pulkit Grover, Carnegie Mellon University, United States
MO2.R6.2: A Simple Self-Decoding Model for Neural Coding
Thach V. Bui, University of Science, Viet Nam
MO2.R6.3: Causality Testing, Directed Information and Spike Trains
Andreas Theocharous, University of Cambridge, United Kingdom; Georgia Gregoriou, University of Crete, Greece; Panos Sapountzis, Foundation of Research and Technology Hellas, Greece; Ioannis Kontoyiannis, University of Cambridge, United Kingdom
Resources
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