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  • CTN: Shaul Druckmann

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

    Title: Neural dynamics of short term memory, from mice to human speech Abstract: Neural dynamics represent the hard-to-interpret substrate of circuit computations. Advances in large-scale recordings have highlighted the sheer spatiotemporal complexity of circuit dynamics within and across circuits, portraying in detail the difficulty of interpreting such dynamics and relating it to computation. Indeed, even in extremely…

  • AI and Neuroscience/Cognitive Science Activities Brainstorming

    Fairchild 700 1212 Amsterdam Ave

    ARNI will host an informal brainstorming session on June 3rd at 6pm (Fairchild 700) focused on developing AI and neuroscience/cognitive science activities for K–12 students. The goal is to create engaging ways to help young learners better understand the brain and artificial intelligence. Trainees are encouraged to attend—if you're interested in making an impact on…

  • CTN: György Buzsáki

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

    Seminar Time: 11:30am Date: Fri 6/6/25 Seminar Location: JLG, L5-084 Host: Erfan Zabeh   Title: Selection and consolidation of memory

  • Saturday Science

    JLGSC 605 W 129th Street

    If you have children or know any young people interested in hands-on STEM fun, bring them to Saturday Science, hosted by Columbia’s CUNO group! The event takes place on Saturday,…

  • CTN: Preeya Khanna

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

    Title: Mapping and Mending Dexterous Movement Control with Neurotechnology   Abstract: Dexterous movement is a hallmark of human motor ability, enabling us to interact skillfully with our environment. The loss…

  • ARNI Continual Learning Working Group Project

    CEPSR 620 Schapiro 530 W. 120th St

    Title: Benchmark Development for Lifelong Learning in LLMs Abstract: The ARNI Continual Learning working group continues its work towards developing a benchmark for lifelong learning in LLMs.  Discussions will be…

  • CTN: Andrew Saxe

    Zoom Link: https://columbiauniversity.zoom.us/j/92032394293?pwd=ZkQBLK7LrSU7ku2zkvXTd2QEw4WUSn.1

  • CTN: Blake Richards

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

    Title: Brain-like learning with exponentiated gradients Abstract: Computational neuroscience relies on gradient descent (GD) for training artificial neural network (ANN) models of the brain. The advantage of GD is that…