Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
Sebastian Stober,D. Cameron,Jessica A. Grahn
2014 · DBLP: conf/nips/StoberCG14
Neural Information Processing Systems · 102 Citations
TLDR
Convolutional neural networks are applied to analyze and classify EEG data recorded within a rhythm perception study in Kigali, Rwanda which comprises 12 East African and 12 Western rhythmic stimuli - each presented in a loop for 32 seconds to 13 participants.