Skip to content
  • Language and Vision Working Group

    Initial Meeting! About: The ARNI Language & Vision Working Group aims to bring together researchers across neuroscience, cognitive science, computer science, and AI to collaboratively advance our understanding of how humans and machines construct multimodal experiences. Its goal is to create a space for discussing ongoing language- and vision-focused projects, identifying natural points of overlap,…

  • Speaker: Thuy Nguyen – ARNI Frontier Models for Neuroscience and Behavior Working Group

    MILA A14

    Title:A multimodal sleep foundation model for disease prediction Abstract: Sleep is a fundamental biological process with broad implications for physical and mental health, yet its complex relationship with disease remains poorly understood. Polysomnography (PSG)—the gold standard for sleep analysis—captures rich physiological signals but is underutilized due to challenges in standardization, generalizability and multimodal integration. To…

  • CTN: Herbert Zheng Wu

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

    Herbert Zheng Wu Title: Neural Basis of Leader–Follower Dynamics in Cooperative Behavior Abstract: Cooperation allows social species to achieve outcomes that individuals cannot accomplish alone. Even in simple groups, cooperative behavior often…

  • ARNI Biological Learning Working Group

    1) Charlotte onboarded vision and audio MNIST dataloaders. She's focusing on predictive coding for sequential tasks (e.g., audio data/moving MNIST). 2) Todd built a multi-modal predictive coding baselines showing that…

  • CTN: SueYeon Chung

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

    SueYeon Chung Title: Computing with Neural Manifolds: A Multi-Scale Framework for Understanding Biological and Artificial Neural Networks Abstract: Recent breakthroughs in experimental neuroscience and machine learning have opened new frontiers…

  • ARNI Continual Learning Working Group Meeting

    CEPSR 620 Schapiro 530 W. 120th St

    We are aiming to accelerate progress on the benchmark, and will demo a working prototype very soon. If you are interested in contributing to our project, we strongly encourage you…

  • CTN: Mitra Javadzadeh

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

    Title: Inter-area connectivity and the emergence of multi-timescale cortical dynamics Abstract: The brain generates behaviors spanning a wide range of timescales, from rapid sensory responses to the slow integrative processes…

  • CTN: Denise Cai

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

    Denise Cai Title: Dynamic neural ensembles support memory stability and flexibility across the lifetime Abstract: Creating stable memories is critical for survival. An animal relies on past learning to navigate…