Learning: Brain Versus Machines
INVITED · S44 · ID: 1853049
Presentations
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Dynamics of representational learning in brain and artificial neural networks
ORAL · Invited
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Presenters
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Yuhai Tu
IBM T. J. Watson Research Center
Authors
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Yuhai Tu
IBM T. J. Watson Research Center
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Guillermo Barrios Morales
University of Granada
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Miguel A Muñoz
University of Granada
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Bo Liu
Harvard University
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Venketash Murthy
Harvard University
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Shanshan Qin
Harvard University
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What does a neuron do? A new model for Neuroscience and AI
ORAL · Invited
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Presenters
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Dmitri Chklovskii
Faltiron Institute
Authors
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Dmitri Chklovskii
Faltiron Institute
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A Statistical Theory of Inferring Population Geometry from Large-Scale Neural Recordings
ORAL · Invited
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Presenters
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Itamar Landau
Authors
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Itamar Landau
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Hyperbolic geometry and information acquisition in biological systems
ORAL · Invited
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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, submittedPresenters
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Tatyana O Sharpee
Salk Inst
Authors
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Tatyana O Sharpee
Salk Inst
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Signatures of abstraction learning in primates
ORAL · Invited
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Presenters
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Adrienne Fairhall
University of Washington
Authors
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Adrienne Fairhall
University of Washington
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