Convolutional neural networks for classification of music-listening EEG: comparing 1D convolutional kernels with 2D kernels and cerebral laterality of musical influence

This paper highlights the ability of convolutional neural networks (CNNs) at classifying EEG data listening to different kinds of music without the requirement for handcrafted features. Deep learning architectures presented in this paper include CNN of different depths and different convolutional ke...

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Veröffentlicht in:Neural computing & applications 2020-07, Vol.32 (13), p.8867-8891
Hauptverfasser: Cheah, Kit Hwa, Nisar, Humaira, Yap, Vooi Voon, Lee, Chen-Yi
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Sprache:eng
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