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Convolutional Networks Outperform Linear Decoders in Predicting EMG From Spinal Cord Signals
Advanced algorithms are required to reveal the complex relations between neural and behavioral data. In this study, forelimb electromyography (EMG) signals were reconstructed from multi-unit neural signals recorded with multiple electrode arrays (MEAs) from the corticospinal tract (CST) in rats. A s...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6199918/ https://www.ncbi.nlm.nih.gov/pubmed/30386200 http://dx.doi.org/10.3389/fnins.2018.00689 |