Decoding micro-electrocorticographic signals by using explainable 3D convolutional neural network to predict finger movements.

Chao-Hung KuoGuan-Tze LiuChi-En LeeJing WuKaitlyn CasimoKurt E WeaverYu-Chun LoYou-Yin ChenWen-Cheng HuangJeffrey G Ojemann

Published in: Journal of neuroscience methods (2024)

The proposed 3D-CNN model, combined with xAI methods, enhances the decoding accuracy of finger movements from ECoG data. This approach offers a more efficient and interpretable solution for brain-computer interface (BCI) applications, emphasizing the HG band's role in motor control.

Keyphrases

convolutional neural network
deep learning
electronic health record
white matter
artificial intelligence
resting state
big data
machine learning
fluorescent probe
cerebral ischemia
living cells
data analysis
multiple sclerosis
solid state