AXON's dual-path gated attention beats dense baselines on six EEG tasks
Authors self-report AXON beats dense attention baselines on average balanced accuracy across six EEG tasks, with no independent verification yet.
ImportanceLocalEvidenceE2 unreplicated
Readers can now know that AXON exceeds dense attention baselines on average balanced accuracy across six EEG downstream tasks, under both linear probing and full fine-tuning.
Prior EEG modeling relied on dense attention, without separating a temporal path along electrodes from a spatial path across electrodes. AXON proposes adaptive anisotropic attention: attention is split into a temporal path along electrodes and a spatial path across electrodes, with a gate predicting a two-way convex combination per token.
The result is self-reported by Mahir Jain and six other authors; audio-spectrum experiments suggest transferability beyond EEG.
No independent verification yet; the preprint was submitted September 8 and updated to v3 on the 16th, arXiv:2609.08788.