Skip to content
  • ARNI NSF Site Visit

    Innovation Hub Tang Family Hall - 2276 12TH AVENUE – FLOOR 02

    NSF Site Visit - The NSF team will evaluate the progress and achievements of ARNI’s projects to date and provide recommendations to steer future directions and funding for the project. If you are interested in learning more about ARNI over-all, join this Zoom link from 9am to 12pm or 2pm to 4:30pm.

  • CTN: Eva Dyer 

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

    Title: Large-scale pretraining on neural data allows for transfer across individuals, tasks and species Abstract: As neuroscience datasets grow in size and complexity, integrating diverse data sources to achieve a comprehensive understanding…

  • Continual Learning Working Group: Haozhe Shan

    CEPSR 620 Schapiro 530 W. 120th St

    Speaker: Haozhe Shan Title: A theory of continual learning in deep neural networks: task relations, network architecture and learning procedure Abstract: Imagine listening to this talk and afterwards forgetting everything else…

  • CTN: Brenden Lake

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

    Title: Meta-learning for more powerful behavioral modeling Abstract: Two modeling paradigms have historically been in tension: Bayesian models provide an elegant way to incorporate prior knowledge, but they make simplifying and constraining…

  • Continual Learning Working Group: Lindsay Smith

    CEPSR 620 Schapiro 530 W. 120th St

    Title: A Practitioner’s Guide to Continual Multimodal Pretraining Reading: https://arxiv.org/pdf/2408.1447 Zoom: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1

  • CTN: Benjamin Grewe

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

    Title: Target Learning rather than Backpropagation Explains Learning in the Mammalian Neocortex Abstract: Modern computational neuroscience presents two competing hypotheses for hierarchical learning in the neocortex: (1) deep learning-inspired approximations of the…

  • Continual Learning Working Group: Yasaman Mahdaviyeh

    CEPSR 620 Schapiro 530 W. 120th St

      Title: Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction Reading: https://openreview.net/pdf?id=TpD2aG1h0D Zoom: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1

  • ARNI Annual Retreat

    Faculty House 64 Morningside Dr

    General Agenda October 21st, Day 1 from 8:45am to 5pm Breakfast and Lunch Provided Opening 3 Keynote Speakers from ARNI Faculty Research Brainstorming and Discussions Project/Student Poster Session Education and…

  • CTN: Tatiana Engel

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

    Title: Unifying neural population dynamics, manifold geometry, and circuit structure. Abstract: Single neurons show complex, heterogeneous responses during cognitive tasks, often forming low-dimensional manifolds in the population state space. Consequently, it is…