Events
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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… |
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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… |