Aug 2026· Cognitive Neurodynamics· Vol 20· 0 citations· 32 references
Medicine
TL;DR
A dynamic re-initialization framework for EEG–fNIRS multimodal decoding achieves cross-modal balanced learning through a diagnosis–adjustment–re-initialization mechanism, which achieves cross-modal balanced learning through a diagnosis–adjustment–re-initialization mechanism.
A comprehensive taxonomy of MI EEG cross-variability decoding studies from 2020 to 2025 is presented, systematically organizing advances in deep learning and transfer learning and critically evaluate core algorithmic approaches, including Convolutional Neural Networks, transformers, feature alignment, domain adaptation...
Li-Jun Wang, Yue-Ying Zhou, Peng-Pai Wang et al.· Frontiers in Neuroscience· 0 citations
Motor imagery electroencephalography (MI-EEG) decoding remains challenging because of the low signal-to-noise ratio, non-stationarity, and inter-subject variability of EEG signals. This study proposes a dynamic multi-branch EEG decoding network (DMB-EDN) that jointly models temporal dynamics, learnable time-frequency p...
Jing-Xin Cai, Meng-Yao Gao, Guang-Yu Li et al.· Frontiers in Neuroscience· 0 citations
The experimental results demonstrated that the MTANet model, empowered by the EEG inception attention and parallel temporal sequence attention modules, effectively improved the accuracy and stability of MI decoding.
Yun-Feng Qin, Li Zhang, Yu Liu et al.· Behavioural Brain Research· 0 citations
It is demonstrated that task-agnostic representation learning can capture physiologically meaningful multimodal neural representations that remain transferable across individuals, offering a promising foundation for more robust and reusable BCI pipelines.
Giovanni Messuti, Silvia Scarpetta, P. Sorrentino et al.· bioRxiv· 0 citations
Imagined speech decoding remains challenging in brain-computer interfaces (BCIs) due to the low signal-to-noise ratio and complex spatio-temporal-spectral structure of Electroencephalogram (EEG) data. Existing studies mainly rely on single-view features or simple fusion strategies, limiting their ability to capture div...
Zi-Jian Han, Zhao-Hu Liu, Honggang Liu et al.· IEEE transactions on bio-med...· 0 citations
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