基本信息
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Bio
I study principles of learning in the brain and mind. The interactions of billions of neurons ultimately give rise to our thoughts and actions. Remarkably, much of our behavior is learned starting in infancy and continuing throughout our lifespan. Understanding how learning at the level of behavior is linked to changes at the level of neurons and synapses is a key challenge for theory.
My lab aims to develop a mathematical toolkit suitable for analyzing and describing learning in complex multi-regional brain networks. Our current focus is on the theory of deep learning, a class of artificial neural network models that take inspiration from the brain.
Alongside this theoretical work, we develop close collaborations with experimentalists to test principles of learning in biological organisms.
My lab aims to develop a mathematical toolkit suitable for analyzing and describing learning in complex multi-regional brain networks. Our current focus is on the theory of deep learning, a class of artificial neural network models that take inspiration from the brain.
Alongside this theoretical work, we develop close collaborations with experimentalists to test principles of learning in biological organisms.
Research Interests
Papers共 83 篇Author StatisticsCo-AuthorSimilar Experts
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ICML 2024 (2024)
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arxiv(2024)
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ICML 2024 (2024)
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Clémentine C. J. Dominé, Rodrigo Carrasco-Davis, Luke Hollingsworth,Nikoloz Sirmpilatze,Adam L. Tyson,Devon Jarvis,Caswell Barry,Andrew M. Saxe
biorxiv(2024)
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arxiv(2024)
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arxiv(2024)
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Loek van Rossem,Andrew Saxe
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17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023pp.3884-3911, (2023)
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