Deep Representation of EEG Signals Using Spatio-Spectral Feature Images

• Published in: Applied sciences Vol. 13; no. 17; p. 9825
• Main Authors: Bajaj, Nikesh, Requena Carrión, Jesús
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2023
• Subjects: brain–computer interface; Calibration; convolutional neural network; Datasets; deep neural network; deep representation; EEG; Electrodes; Electroencephalography; Listening; Neural networks; Neurons; spatio-spectral feature image; Topography; New Jersey

Modern deep neural networks (DNNs) have shown promising results in brain studies involving multi-channel electroencephalogram (EEG) signals. The representations produced by the layers of a DNN trained on EEG signals remain, however, poorly understood. In this paper, we propose an approach to interpr...