Physics of Learning and Adaptation in Living Systems

Presentations

• Traveling-wave strategy for plant-mycorrhizal trade

  ORAL · Invited

  March 8, 2024, 8:00 AM – March 8, 2024, 8:36 AM

  Presenters

  • Thomas Shimizu

    • AMOLF

  Authors

  • Thomas Shimizu

    • AMOLF

  • Loreto Oyarte Galvez

    • Vrije Universiteit & AMOLF, Amsterdam

  • Corentin Bisot

    • AMOLF & ENS Lyon

  • Philippe Bourriane

    • Princeton University & ESPCI

  • Howard A Stone

    • Princeton University

  • E. Toby Kiers

    • Vrije Universiteit Amsterdam

  View abstract →

• Physical learning in dynamical systems

  ORAL

  March 8, 2024, 8:36 AM – March 8, 2024, 8:48 AM

  Presenters

  • Menachem Stern

    • University of Pennsylvania

  Authors

  • Menachem Stern

    • University of Pennsylvania

  • Andrea J Liu

    • University of Pennsylvania

  • Vijay Balasubramanian

    • University of Pennsylvania

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• Waddington differentiation and saddle bifurcation in generalized Hopfield networks

  ORAL

  March 8, 2024, 8:48 AM – March 8, 2024, 9:00 AM

  Publication: Waddington differentiation and saddle bifurcation for prototype learning

  Presenters

  • Nacer Eddine Boukacem

    • Universite de Montreal

  Authors

  • Nacer Eddine Boukacem

    • Universite de Montreal

  • Allen Leary

    • Regeneron

  • Paul Francois

    • Universite de Montreal
    • Université de Montréal

  • Madhav Mani

    • Northwestern University

  • Felix Gottlieb

    • McGill University

  • Robin Thériault

    • Scuola Normale Superiore di Pisa

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• The Restricted Kirchhoff Machine: self-learning electrical circuits for unsupervised learning

  ORAL

  March 8, 2024, 9:00 AM – March 8, 2024, 9:12 AM

  Presenters

  • Marcelo Guzmán

    • University of Pennsylvania
    • UPenn

  Authors

  • Marcelo Guzmán

    • University of Pennsylvania
    • UPenn

  • Simone Ciarella

    • Netherlands eScience Center

  • Andrea J Liu

    • University of Pennsylvania

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• Adaptation and Loop Stabilization in Periodically Driven Elastic Flow Networks

  ORAL

  March 8, 2024, 9:12 AM – March 8, 2024, 9:24 AM

  Presenters

  • Purba Chatterjee

    • University of Pennsylvania

  Authors

  • Purba Chatterjee

    • University of Pennsylvania

  • Sean Fancher

    • University of Pennsylvania,University of Michigan

  • Eleni Katifori

    • University of Pennsylvania

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• Adaptation maximizes information and minimizes dissipation across biological scales

  ORAL

  March 8, 2024, 9:24 AM – March 8, 2024, 9:36 AM

  Publication: G. Nicoletti, D.M. Busiello, Physical Review Letters 127, 228301 (2021)
  G. Nicoletti, M. Bruzzone, S. Suweis, M. Dal Maschio, D.M. Busiello, arXiv.2301.12812 (2023)

  Presenters

  • Daniel Maria Busiello

    • Max Planck Institute for the Physics of Complex Systems

  Authors

  • Daniel Maria Busiello

    • Max Planck Institute for the Physics of Complex Systems

  • Giorgio Nicoletti

    • University of Padua

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• Adaptation, fluctuating landscapes and heavy-tails in animal behavior

  ORAL

  March 8, 2024, 9:36 AM – March 8, 2024, 9:48 AM

  Presenters

  • Antonio Carlos Costa

    • University of Sorbonne, Paris Brain Institute (ICM)

  Authors

  • Antonio Carlos Costa

    • University of Sorbonne, Paris Brain Institute (ICM)

  • Massimo Vergassola

    • CNRS

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• Nonlinear dynamics of habituating systems: learning to ignore

  ORAL

  March 8, 2024, 9:48 AM – March 8, 2024, 10:00 AM

  Presenters

  • Matthew Smart

    • Flatiron Institute

  Authors

  • Matthew Smart

    • Flatiron Institute

  • Stanislav Y Shvartsman

    • Princeton University

  • Martin Mönnigmann

    • Ruhr-Universität Bochum

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• Predicting Cellular Regulation from Natural Selection, Thermodynamics and Control Theory

  ORAL

  March 8, 2024, 10:00 AM – March 8, 2024, 10:12 AM

  Publication: Britton, S., Alber, M, and Cannon, W. R., Enzyme Activities Predicted by Metabolite Concentrations and Solvent Capacity in the Cell, Journal of The Royal Society Interface (2020), 17(171): 20200656, doi: https:// doi:10.1098/rsif.2020.0656
  
  King, Ethan, Holzer, Jesse, North, Justin A., and Cannon, William R., An approach to learn regulation to maximize growth and entropy production rates in metabolism, Frontiers in Systems Biology, Vol. 3, 2023, DOI: 10.3389/fsysb.2023.981866
  

  Presenters

  • William R Cannon

    • Pacific Northwest Natl Lab

  Authors

  • William R Cannon

    • Pacific Northwest Natl Lab

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• Discovering plasticity rules that organize and maintain neural circuits

  ORAL

  March 8, 2024, 10:12 AM – March 8, 2024, 10:24 AM

  Presenters

  • David Bell

    • University of Washington

  Authors

  • David Bell

    • University of Washington

  • Alison Duffy

    • University of Washington

  • Adrienne Fairhall

    • University of Washington

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• Modeling stochastic phenotypic adaptation to predict enzalutamide resistance in prostate cancer

  ORAL

  March 8, 2024, 10:24 AM – March 8, 2024, 10:36 AM

  Publication: George. Optimal phenotypic adaptation in fluctuating environments. Accepted. Biophysical Journal.

  Presenters

  • Zahra S Ghoreyshi

    • Texas A&M University

  Authors

  • Zahra S Ghoreyshi

    • Texas A&M University

  • Shibjyoti Debnath

    • Duke University

  • Jason Somarelli

    • Duke University

  • Jason T George

    • Texas A&M University

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• Generalized end-product feedback circuit senses high dimensional environmental fluctuations

  ORAL

  March 8, 2024, 10:36 AM – March 8, 2024, 10:48 AM

  Publication: F Yu, M Tikhonov. Generalized end-product feedback circuit senses high dimensional environmental fluctuations. Preprint on arXiv.

  Presenters

  • Fang Yu

    • Washington University, St. Louis

  Authors

  • Fang Yu

    • Washington University, St. Louis

  • Mikhail Tikhonov

    • Washington University, St. Louis

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• A fractional calculus model of bacterial adaptation to fluctuating environments

  ORAL

  March 8, 2024, 10:48 AM – March 8, 2024, 11:00 AM

  Presenters

  • Josiah Kratz

    • Carnegie Mellon University

  Authors

  • Josiah Kratz

    • Carnegie Mellon University

  • Shiladitya Banerjee

    • Carnegie Mellon University

  View abstract →