APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020;
Denver, Colorado
Session Index
Session P22: Inference, Information, and Learning in Biophysics: I
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Sponsoring Units: DBIO GSNP DCOMP
Chair: Pankaj Mehta, Boston University
Room: 303
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P22.00001: What can and can't Machine Learning do for Physics?
Invited Speaker:
Pankaj Mehta
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P22.00002: Coarse scale representation of spiking neural networks: from dynamics to backpropagation through spikes
Angel Yanguas-Gil
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P22.00003: Towards a grammar of probabilistic models for large biological networks
Philipp Fleig, Ilya M Nemenman
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P22.00004: Different noise assumptions yield qualitatively different landscapes and transition paths in gene regulation models
John Vastola, William R. Holmes
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P22.00005: Stochastic Modelling of Dynein Motors on a One-Dimensional Lattice: Dynamics and Stationary State
Riya Nandi, Priyanka .
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P22.00006: Limits to biochemical signalling in a changing environment as an inference problem
Thierry Mora, Ilya M Nemenman
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P22.00007: Human information processing in complex networks
Christopher Lynn, Evangelia Papadopoulos, Ari Kahn, Danielle Bassett
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P22.00008: Information tradeoffs in sensing and sampling
Caroline Holmes, William S Bialek
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P22.00009: Optical reservoir computing with tumor spheroids
Davide Pierangeli, Valentina Palmieri, Giulia Marcucci, Chiara Moriconi, Giordano Perini, Marco De Spirito, Massimiliano Papi, Claudio Conti
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P22.00010: Stochastic Force Inference
Pierre Ronceray, Anna Frishman
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P22.00011: Predicting the future from the past in visual object motion: optimal representations of mixed stochastic/deterministic trajectories
Vedant Sachdeva, Aleksandra Maria Walczak, Thierry Mora, Stephanie Palmer
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P22.00012: Quantifying success and failure in simple models of large neural populations
Leenoy Meshulam, Jeffrey Gauthier, Carlos Brody, David Tank, William S Bialek
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P22.00013: Quantifying temporal information accumulation for biochemical signaling dynamics
Ying Tang, Adewunmi Adelaja, Xiaofeng Ye, Eric Deeds, Roy Wollman, Alexander Hoffmann
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