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
2021 IEEE International Symposium on Information Theory
11-16 July 2021 | Melbourne, Victoria, Australia