Decoding P300 Variability Using Convolutional Neural Networks

Decoding P300 Variability Using Convolutional Neural Networks

Deep convolutional neural networks (CNN) have previously been shown to be useful tools for signal decoding and analysis in a variety of complex domains, such as image processing and speech recognition. By learning from large amounts of data, the representations encoded by these deep networks are oft...

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Bibliographic Details
Main Authors: Amelia J. Solon, Vernon J. Lawhern, Jonathan Touryan, Jonathan R. McDaniel, Anthony J. Ries, Stephen M. Gordon
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Human Neuroscience
Subjects:
neural decoding
EEG
deep learning
convolutional neural network
P300
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2019.00201/full

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https://www.frontiersin.org/article/10.3389/fnhum.2019.00201/full

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