Learning: Brain Versus Machines

Presentations

• Dynamics of representational learning in brain and artificial neural networks

  ORAL · Invited

  March 7, 2024, 8:00 AM – March 7, 2024, 8:36 AM

  Presenters

  • Yuhai Tu

    • IBM T. J. Watson Research Center

  Authors

  • Yuhai Tu

    • IBM T. J. Watson Research Center

  • Guillermo Barrios Morales

    • University of Granada

  • Miguel A Muñoz

    • University of Granada

  • Bo Liu

    • Harvard University

  • Venketash Murthy

    • Harvard University

  • Shanshan Qin

    • Harvard University

  View abstract →

• What does a neuron do? A new model for Neuroscience and AI

  ORAL · Invited

  March 7, 2024, 8:36 AM – March 7, 2024, 9:12 AM

  Presenters

  • Dmitri Chklovskii

    • Faltiron Institute

  Authors

  • Dmitri Chklovskii

    • Faltiron Institute

  View abstract →

• A Statistical Theory of Inferring Population Geometry from Large-Scale Neural Recordings

  ORAL · Invited

  March 7, 2024, 9:12 AM – March 7, 2024, 9:48 AM

  Presenters

  • Itamar Landau

  Authors

  • Itamar Landau

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• Hyperbolic geometry and information acquisition in biological systems

  ORAL · Invited

  March 7, 2024, 9:48 AM – March 7, 2024, 10:24 AM

  Publication: Zhou, Smith, and Sharpee, Science Advances 2018, published
  Zhou and Sharpee iScience 2021, published
  Zhou and Sharpee Neural Computation 2022, published
  Zhang, Rich, Lee, and Sharpee, Nature Neuroscience 2023, published
  Praturu and Sharpee, bioarxiv, submitted

  Presenters

  • Tatyana O Sharpee

    • Salk Inst

  Authors

  • Tatyana O Sharpee

    • Salk Inst

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• Signatures of abstraction learning in primates

  ORAL · Invited

  March 7, 2024, 10:24 AM – March 7, 2024, 11:00 AM

  Presenters

  • Adrienne Fairhall

    • University of Washington

  Authors

  • Adrienne Fairhall

    • University of Washington

  View abstract →