Decoding arm speed during reaching
Brain–machine interfaces typically decode arm velocity from motor cortical neurons to move neuroprostheses, but performance of these devices is degraded by erroneous extraction of speed from the neuronal firing patterns. Here, the authors show that this error can be corrected by using a hybrid artif...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/f29031c4bcf6498c82d81ef9f86fb397 |
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| Sumario: | Brain–machine interfaces typically decode arm velocity from motor cortical neurons to move neuroprostheses, but performance of these devices is degraded by erroneous extraction of speed from the neuronal firing patterns. Here, the authors show that this error can be corrected by using a hybrid artificial neural network approach. |
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