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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...
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| Publicado no: | Front Neurosci |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8260935/ https://ncbi.nlm.nih.gov/pubmed/34248481 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2021.667907 |
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