Search Results for author:
Found 2 papers, 1 papers with code
Deep Feature Learning for EEG Recordings
We introduce and compare several strategies for learning discriminative features from electroencephalography (EEG) recordings using deep learning techniques.
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
Electroencephalography (EEG) recordings of rhythm perception might contain enough information to distinguish different rhythm types/genres or even identify the rhythms themselves.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
