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  • CTN: Mitra Javadzadeh

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: Inter-area connectivity and the emergence of multi-timescale cortical dynamics Abstract: The brain generates behaviors spanning a wide range of timescales, from rapid sensory responses to the slow integrative processes…

  • CTN: Denise Cai

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Denise Cai Title: Dynamic neural ensembles support memory stability and flexibility across the lifetime Abstract: Creating stable memories is critical for survival. An animal relies on past learning to navigate…

  • CTN: Andreas Tolias

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: Foundation models of the brain Abstract: You … your memories and ambitions, your sense of personal identity and free will, are in fact no more than the behavior of a vast…

  • CTN: Farzaneh Najafi

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States
  • Speaker: Katherine Xu – Language and Vision Working Group

    Virtual

    Title: Are Vision-Language Models Checking or Looking? Abstract: Today’s AI vision systems are trained on vast amounts of data, yet it remains unclear whether they simply retrieve memorized answers or actively…

  • Lecture Series in AI: Richard Zemel

    Davis Auditorium 530 W 120th St, New York, NY 10027, New York, NY

    General website Title: Integrating Past and Present in Continual Learning Abstract: Continual learning aims to bridge the gap between typical human and machine-learning environments. The continual setting does not have separate training and testing phases, and instead models are evaluated online while learning novel concepts and tasks. The most capable current AI systems struggle to…