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  • ARNI Continual Learning Working Group Project

    CEPSR 620 Schapiro 530 W. 120th St

    Continuation of meeting from prior working group meetings. Zoom link: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1

  • Girls’ Science Day

    ARNI is committed to promoting science education among New York City's youth. This year, ARNI is supporting Girls' Science Day on April 5, 2025. Location: TBD Mission Girls’ Science Day at Columbia University seeks to champion the advancement of women and underrepresented groups in the fields of science, technology, engineering, and math (STEM). By offering…

  • ARNI Emerging Researchers Talk Series #1: Rahul Ramesh

    Title: Principles of Learning from Multiple Tasks Abstract:  Deep networks are increasingly trained on data from multiple tasks with the goal of sharing synergistic information across related tasks. A language model,…

  • CTN Special Speaker Steve Fleming

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

    Title: How the human brain thinks about itself Abstract: The human brain has a remarkable ability to monitor and evaluate its own mental states, known as metacognition. Metacognition is crucial…

  • CTN: Alex Williams

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

    Title: Quantifying individuality in neural circuit representations   Abstract: Signatures of neural computation are thought to be reflected in the coordinated activity of large neural populations. Neuroscience is now flush with measurements of these activity patterns in humans,…

  • CTN: Sam Gershman

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

    Title: Reimagining the biology of memory   Abstract: Over the last half century, there has been a remarkable convergence on the idea that memories are stored at synapses. I will…

  • CTN: Ivan Davidovich

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

    Title: Uncovering latent low-dimensional structure in network connectivity Abstract: Network connectivity constrains the patterns of neural activity in the brain. These constraints are often observed as low-dimensional manifolds in neural activity space.…