Article

Uncertainty-Aware Deep Learning for Robust and Interpretable MI EEG using Channel Dropout and LayerCAM Integration

2025-06-11

Abstract excerpt

Motor Imagery (MI) classification plays a crucial role in enhancing the performance of brain-computer interface (BCI) systems, thereby enabling advanced neurorehabilitation and the development of intuitive brain-controlled technologies. However, MI classification using electroencephalography (EEG) is hindered by spatiotemporal variability and the limited interpretability of deep learning (DL) models. To mitigate t...

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Literature Corpus work: e6e7a0bb-be61-5d39-b9ca-e2f41a189f3e
DOI: 10.20944/preprints202506.0967.v1

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