PNA decomposes MEG recordings via ICA, isolates artifact components using EOG/ECG references, and re-injects scaled artifacts into clean data to train decoders that are invariant to physiological noise, improving imagined-digit classification by 4.7 percentage points with EEGNet.
Decoding speech perception from non-invasive brain recordings.Nature Machine Intelligence, 5(10):1097–1107, Oct 2023
4 Pith papers cite this work, alongside 197 external citations. Polarity classification is still indexing.
4
Pith papers citing it
197
external citations · OpenAlex
years
2026 4representative citing papers
The paper introduces a time-resolved neural encoder combining Whisper embeddings with recurrent temporal modeling and soft attention to predict ECoG responses, finding strongest alignment in intermediate layers and anatomically coherent phoneme organization in electrodes.
Separating acoustic and expectation ANN representations as teacher targets improves EEG music identification beyond baselines and seed ensembles.
citing papers explorer
-
Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity
Separating acoustic and expectation ANN representations as teacher targets improves EEG music identification beyond baselines and seed ensembles.