Skip to content
  • CTN: Christine Constantinople

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

    Title: Neural circuit mechanisms of value-based decision-making Abstract:  The value of the environment determines animals’ motivational states and sets expectations for error-based learning. But how are values computed? We developed…

  • CTN: Naomi Leonard

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

    Title: Fast and Flexible Group Decision-Making Abstract: A wide range of animals live and move in groups. Many animals do better in groups than alone when, for example, foraging for…

  • ARNI Continual Learning Working Group Project

    CSB 480 Mudd Building, 500 W 120th Street

    Monday (9/15) the Continual Learning Group will have a presentation from group member Yunfan Zhang.  Yunfan will be sharing his ongoing work on developing a continual learning benchmark based on…

  • CTN: Dani Bassett

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

    Title and Abstract: TBD Zoom: Meeting ID: 993 3345 6502 Passcode: Upon request @ [email protected]

  • 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…

  • 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…