Technical Program

T.3: Information Theory and Biology

Session Type: Lecture
Track: Topics in Information Theory
Virtual Session: View on Virtual Platform
Session Chair: Todd Coleman, University of California, San Diego
 
T.3.1: Poisson channel with binary Markov input and average sojourn time constraint
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         Mark Sinzger; Technische Universität Darmstadt
         Maximilian Gehri; Technische Universität Darmstadt
         Heinz Koeppl; Technische Universität Darmstadt
 
T.3.2: How else can we define Information Flow in Neural Circuits?
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         Praveen Venkatesh; Carnegie Mellon University
         Sanghamitra Dutta; Carnegie Mellon University
         Pulkit Grover; Carnegie Mellon University
 
T.3.3: Coding for Efficient DNA Synthesis
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         Andreas Lenz; Technical University of Munich
         Yi Liu; University of California, San Diego
         Cyrus Rashtchian; University of California, San Diego
         Paul Siegel; University of California, San Diego
         Antonia Wachter-Zeh; Technical University of Munich
         Eitan Yaakobi; Technion - Israel Institute of Technology
 
T.3.4: Bee-Identification Error Exponent with Absentee Bees
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         Anshoo Tandon; National University of Singapore
         Vincent Y. F. Tan; National University of Singapore
         Lav R. Varshney; University of Illinois at Urbana-Champaign
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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