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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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Bibliografiska uppgifter
I publikationen:Front Hum Neurosci
Huvudupphovsmän: Solon, Amelia J., Lawhern, Vernon J., Touryan, Jonathan, McDaniel, Jonathan R., Ries, Anthony J., Gordon, Stephen M.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2019
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6587927/
https://ncbi.nlm.nih.gov/pubmed/31258469
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2019.00201
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