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Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals
Previous literature shows that deep learning is an effective tool to decode the motor intent from neural signals obtained from different parts of the nervous system. However, deep neural networks are often computationally complex and not feasible to work in real-time. Here we investigate different a...
| 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/PMC8260935/ https://www.ncbi.nlm.nih.gov/pubmed/34248481 http://dx.doi.org/10.3389/fnins.2021.667907 |