  We have developed a graphic user interface (GUI), ExBrainable, dedicated to
convolutional neural networks (CNN) model training and visualization in
electroencephalography (EEG) decoding. Available functions include model
training, evaluation, and parameter visualization in terms of temporal and
spatial representations. We demonstrate these functions using a well-studied
public dataset of motor-imagery EEG and compare the results with existing
knowledge of neuroscience. The primary objective of ExBrainable is to provide a
fast, simplified, and user-friendly solution of EEG decoding for investigators
across disciplines to leverage cutting-edge methods in brain/neuroscience
research.
