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  • Continual Learning Working Group

    CEPSR 620 Schapiro 530 W. 120th St

    Weekly Meeting Group Discussion: Saket Navlakha, Associate Professor at Cold Spring Harbor Labs (Available via Zoom) Saket Navlakha, Associate Professor at Cold Spring Harbor Labs, will present his work, "Reducing…

  • Shihab Shamma

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

    Title: The auditory cortex: A sensorimotor fulcrum for speech and music perception Abstract: The Auditory cortex sits at the center of all auditory-motor tasks and percepts, from listening to our…

  • Roberta Raileanu

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

    Title: Teaching Large Language Models to Reason with Reinforcement Learning Abstract: In this talk, I will discuss how we can use Reinforcement Learning (RL) to improve reasoning in Large Language Models (LLM),…

  • Lenka Zdeborova (Seminar Speaker)

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

    Title: Phase transition in learning with neural networks  Abstract: Statistical physics has studied exactly solvable models of neural networks for more than four decades. In this talk, we will put…

  • Postponed Continual Learning Working Group

    CEPSR 620 Schapiro 530 W. 120th St

    Weekly Meeting Group Discussion: Lifelong and Human-like Learning in Foundation Models Speaker: Mengye Ren (New York University) Assistant Professor Department of Computer Science Courant Institute of Mathematical Sciences Center for…

  • CTN: Adam Hantman

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

    Title: Neural basis for skilled movements Abstract: Generating behavior is an incredible achievement of the nervous system, considering the range of possible actions and the complexity of musculoskeletal arrangements. Motor…

  • Multi-resource-cost Optimization for Neural Networks Models Working Group (NNMS)

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

    Title: Scope of the working group, example project, and literature Short Description: From Nikolaus Kriegeskorte's (Professor of Psychology and of Neuroscience (in the Mortimer B. Zuckerman Mind Brain Behavior Institute)…

  • CTN: Wei Ji Ma

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

    Title: Efficient coding in reward neurons Abstract: Two of the greatest triumphs of computational neuroscience have been efficient coding accounts of tuning properties of sensory neurons and reinforcement learning accounts…

  • CTN: Quentin Huys (Seminar Speaker)

    To Be Determined

    Title: Translating computational mechanisms to clinical applications Computational psychiatry is a rapidly growing field attempting to translate advances in computational neuroscience and machine learning into improved outcomes for patients suffering…

  • CTN: Guillaume Hennequin

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

    Title: A recurrent network model of planning explains hippocampal replay and human behaviour Abstract:  When faced with a novel situation, humans often spend substantial periods of time contemplating possible futures. For such planning to be rational, the benefits to behaviour must compensate for the time spent thinking. I will show how we recently captured these features…

  • Canceled CTN: Bob Datta

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

    Title and Abstract: TBD