Cargando…
Efficient Universal Computing Architectures for Decoding Neural Activity
The ability to decode neural activity into meaningful control signals for prosthetic devices is critical to the development of clinically useful brain– machine interfaces (BMIs). Such systems require input from tens to hundreds of brain-implanted recording electrodes in order to deliver robust and a...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2012
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440437/ https://www.ncbi.nlm.nih.gov/pubmed/22984404 http://dx.doi.org/10.1371/journal.pone.0042492 |