EEGDash: An open-source platform for machine learning on public neurophysiological data

arXiv:2606.16041 · q-bio.NC · Submitted 2026-06-14 · Read on arXiv

q-bio.NC

Submitted: 2026-06-14

Updated: 2026-10-11

Code: https://github.com/eegdash/EEGDash

Terminology

• Benchmarking — 1× in this paper · explained in 4 episodes
• fNIRS — 1× in this paper · explained in 2 episodes

Sources

• Croissant: A Metadata Format for ML-Ready Datasets
• NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
• NeuralSet: A High-Performing Python Package for Neuro-AI
• DataPerf: Benchmarks for Data-Centric AI Development
• BrainBERT: Self-supervised representation learning for intracranial recordings
• BIOT: Cross-data Biosignal Learning in the Wild

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