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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296978/ https://www.ncbi.nlm.nih.gov/pubmed/34305540 http://dx.doi.org/10.3389/fnsys.2021.617605 |