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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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Bibliografiske detaljer
Udgivet i:Front Syst Neurosci
Main Authors: Hashemnia, Saeedeh, Grasse, Lukas, Soni, Shweta, Tata, Matthew S.
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2021
Fag:
Online adgang: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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