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  • CTN: Erin Rich

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

    Title: Dynamics of evaluation and choice in the orbitofrontal cortex   Abstract: The orbitofrontal cortex is known to be important for evaluation, choice, and motivated behavior, but theories on its precise…

  • 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…

  • 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…

  • 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 centered around learning over time as well as catastrophic forgetting in LLM post-training. Zoom link: By request

  • CTN: Andrew Saxe

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

  • Speaker: Dr. Guillaume Lajoie – ARNI Frontier Models for Neuroscience and Behavior Working Group

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

    Title: POSSM: Generalizable, real-time neural decoding with hybrid state-space models Abstract:  Real-time decoding of neural spiking data is a core aspect of neurotechnology applications such as brain-computer interfaces, where models are subject to strict latency constraints. Traditional methods, including simple recurrent neural networks, are fast and lightweight but are less equipped for generalization to unseen…