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4 indexed papersStructured digests of high-impact neural engineering and BCI publications.
High-performance non-invasive neural speech decoding from magnetoencephalography and high-density EEG
D. Défossez, C. Caucheteux, J. Rapin, O. Orien, J.R. King
Low signal-to-noise ratio in non-invasive neural recordings previously made continuous phrase decoding inaccurate without surgery.
Contrastive neural language representations aligned with multi-channel MEG and 128-channel EEG spectrograms using causal dilated convolutions.
Achieved top-10 accuracy of up to 73% in 3-second speech segment identification from non-invasive sensors.
Proves that deep language models can extract rich linguistic structures from scalp recordings without surgical electrode placement.
Requires high trial counts and subject-specific calibration; performance drops substantially with sparse consumer headsets.
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