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Human EEG and Recurrent Neural Networks Exhibit Common Temporal Dynamics During Speech Recognition

Recent deep-learning artificial neural networks have shown remarkable success in recognizing natural human speech, however the reasons for their success are not entirely understood. Success of these methods might be because state-of-the-art networks use recurrent layers or dilated convolutional laye...

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Detalhes bibliográficos
Publicado no:Front Syst Neurosci
Main Authors: Hashemnia, Saeedeh, Grasse, Lukas, Soni, Shweta, Tata, Matthew S.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8296978/
https://ncbi.nlm.nih.gov/pubmed/34305540
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnsys.2021.617605
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