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  • CTN: Ann Kennedy

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

    Title: Neural computations underlying the regulation of motivated behavior Abstract: As we interact with the world around us, we experience a constant stream of sensory inputs, and must generate a constant stream of behavioral actions. What makes brains more than simple input-output machines is their capacity to integrate sensory inputs with an animal’s own internal motivational state…

  • ARNI Continual Learning Working Group Project

    CEPSR 620 Schapiro 530 W. 120th St

    Next Monday, September 29, we will continue our fall semester program with a group workshop on the topic of neural memory models.  First, we will have a presentation from group…

  • CTN: Reza Shadmehr

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

    Title and Abstract: TBD

  • ARNI Biological Learning Working Group

    Biological Learning first fall 2025 working group session of the year! Pingsheng Li, PhD student with Blake Richards at MILA, will be presenting Log-Normal Multiplicative Dynamics for Stable Low-Precision Training…

  • ARNI Frontier Models for Neuroscience and Behavior Working Group

    Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United States

    Title: OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens Abstract: Scaling data and artificial neural networks has transformed AI, driving breakthroughs in language and vision. Whether…

  • CTN: Maryam Shanechi

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

    Title: Dynamical models of neural-behavioral data with application to AI-driven neurotechnology Abstract: A major challenge in neuroAI is to model, decode, and modulate the activity of large populations of neurons…

  • CTN: Ilana Witten

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

    Title and Abstract: TBD

  • CTN: Anna Schapiro

    Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NY

    Title: Learning representations of specifics and generalities over time Abstract: There is a fundamental tension between storing discrete traces of individual experiences, which allows recall of particular moments in our past…

  • ARNI Distinguished Seminar Series: Leila Wehbe

    Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NY

    Bio: Leila Wehbe is an associate professor in the Machine Learning Department and the Neuroscience Institute at Carnegie Mellon University. Her work is at the interface of cognitive neuroscience and computer science.…