[CVPR 2024 Highlight] Official PyTorch implementation of "MindBridge: A Cross-Subject Brain Decoding Framework"
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Updated
Dec 30, 2024 - Python
[CVPR 2024 Highlight] Official PyTorch implementation of "MindBridge: A Cross-Subject Brain Decoding Framework"
Cross-subject classification of cognitive loads using a recurrent-residual deep network
PyTorch code for RSASC: learning domain-invariant EEG representations via representational similarity alignment for cross-subject emotion recognition.
Behavior-supervised alignment for cross-subject neural decoding across non-corresponding ECoG electrode grids: align each patient's grid onto shared finger-motor axes defined by the decode target, then decode with a shared seq2seq TCN, interpretably and without a foundation model.
Solution for NeurIPS 2025 EEG Foundation Challenge (Rank 18th/1,183, Top 1.5%). Exploring Cross-Task & Cross-Subject Decoding on HBN-EEG.
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Xinling: multimodal screening and early-warning platform for adolescent mental health
Award-winning, protocol-aware pipeline for cross-subject EEG emotion recognition.
Cross-subject sEMG lower-limb movement classification on SIAT-LLMD (n=40): per-subject normalization beats learned domain adaptation. 85.8% LOSO macro-F1, externally replicated on ENABL3S.
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