Alljoined-1.6M is a 1.6-million-trial EEG-image dataset recorded on a 32-channel consumer headset, showing that semantic decoding and EEG-to-image reconstruction work on affordable hardware at scale.
Enigma: A unified lightweight eeg-to-image model for multi-subject visual decoding
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Alljoined-1.6M: A Million-Trial EEG-Image Dataset for Evaluating Affordable Brain-Computer Interfaces
Alljoined-1.6M is a 1.6-million-trial EEG-image dataset recorded on a 32-channel consumer headset, showing that semantic decoding and EEG-to-image reconstruction work on affordable hardware at scale.