convolutional neural networks

Tackling brain signal inter-subject variability with adaptive neural architectures

Decoding electroencephalography (EEG) signals with deep learning remains challenging due to strong interand intra-individual variability, low signal-to-noise ratio, and the absence of an optimal architecture. While deep neural networks have …