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  • Speaker: Mia Dai – ARNI Frontier Models for Neuroscience and Behavior Working Group

    Virtual

    Speakers: Mia Dai, PhD student in the Paninski Group at Columbia University Title: Sparse-View Interpretable 3D Animal Behavior Representations for Neural Encoding and Decoding Abstract: A deeper understanding of brain function requires a precise, structured characterization of behavior. Yet, capturing behavior from video in a form suitable for scientific analysis remains a fundamental challenge. Many prior studies represent…

  • CTN: Bence Olveczky (Harvard University) – June 26, 2026

    Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NY

    Bence Olveczky Location: ZI Date: June 26, 2026 Time: 11:30am Zoom: Upon Request @ [email protected] Title: Neural circuits underlying learned motor sequences. Abstract: Our ability to sequence movements and actions in response to unpredictable environmental events underlies our rich and adaptive behavioral repertoire. Such flexible behaviors contrast with overtrained, or automatic, motor sequences directed at specific…

  • Speaker: Konstantinos Barmpas (Imperial College London) and Jarod Lévy (Meta FAIR Paris and Inria MIND) – ARNI Frontier Models for Neuroscience and Behavior Working Group

    Virtual

    Konstantinos Barmpas (Postdoc Imperial College London) Title: NeuroRVQ - Multi-Scale Biosignal Tokenization for Generative Foundation Models Abstract: Biosignals such as electroencephalography (EEG), electrocardiography (ECG), and electromyography (EMG) encode physiological activity across multiple temporal and spectral scales, yielding representations that are rich but challenging for machine learning. Foundation models trained to predict masked signal tokens have shown promise…

  • CCN 2026 Satelite Event: Modeling and Understanding Human Brain Computation at Scale

    To Be Determined

    Location: Zuckerman Institute (room TBD) Date and Time: August 2nd, 10am to 6pm About:  Recent advances in deep learning and improvements in the quantity and quality of available human brain-activity data (including functional MRI, EEG, MEG, and intracranial recordings) have made it possible to build accurate encoding models of the human brain that can predict neural activity…

  • ARNI Continual Learning Working Group Meeting

    Virtual

    Our discussion will focus on the Day in the Life benchmark. We're aiming to submit a proposal to the ICLR workshops once the timing is confirmed (and potentially an ICLR paper as well, with the deadline a month out), so we'd like to accelerate the push towards a working benchmark. Zoom Link: Upon request @…

  • Speaker: Alexandre Pouget – ARNI Distinguish Seminar Series

    Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NY

    Alexandre Pouget Date and Time: May 21st at 3pm Location: Zuckerman Institute Kavli Auditorium 9th Floor Title: Neural Models of Compositionality Abstract: Compositionality is widely regarded as one of the cornerstones…