AI RESEARCH
NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models
arXiv CS.LG
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ArXi:2510.13068v4 Announce Type: replace 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 in learning generalizable biosignal representations, yet their performance depends on the tokenizer's ability to preserve high-frequency dynamics and reconstruct signals with high fidelity. We.