Events
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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…
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Speaker: Thuy Nguyen – ARNI Frontier Models for Neuroscience and Behavior Working Group
MILA A14Title: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…
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CTN: Herbert Zheng Wu
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesHerbert 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…
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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…
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CTN: SueYeon Chung
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesSueYeon 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…
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ARNI Continual Learning Working Group Meeting
CEPSR 620 Schapiro 530 W. 120th StWe 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…
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CTN: Mitra Javadzadeh
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: 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 underlying cognition. How does the anatomical connectivity of the neocortex give rise to such flexible, multi-timescale dynamics? In this talk, I will examine how the…
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ARNI Biological Learning Working Group
VirtualContinuation from prior meetings Zoom Link- Upon request @ [email protected]
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CTN: Denise Cai
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesDenise 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 its environment, avoid dangerous situations, and find needed resources. Because the environment is dynamic, stable memories must be updated with new information to enable responses…
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Speaker: Jorge Menendez – ARNI Frontier Models for Neuroscience and Behavior Working Group
VirtualDate and time: Monday, March 2, from 3–4 PM. Meeting Link: Upon request @[email protected] Speakers: Jorge Menendez, Research Scientist at CTRL-Labs, and Trung Le, postdoc in Prof. Chethan Pandarinath’s group. Title: A generic non-invasive neuromotor interface for human-computer interaction Since the advent of computing, humans have sought computer input technologies that are expressive, intuitive and…
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Columbia University AI Summit – Reimagining Teaching and Learning in the Age of AI: An AI and Education Forum
Date: Wednesday, March 4, 2026 Time: 9:00 AM - 6:30 PM Location: Faculty Room, Low Memorial Library Address: 535 W. 116th Street, New York, NY 10027 - Visitor Information Overview How does a university learn and adapt as AI becomes woven into teaching, learning, and intellectual life? This program invites both celebration of innovative experimentation…
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ARNI Continual Learning Working Group Meeting
CEPSR 620 Schapiro 530 W. 120th StNext session March 5th
