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...

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Detalles Bibliográficos
Autores principales: Rapoport, Benjamin I., Turicchia, Lorenzo, Wattanapanitch, Woradorn, Davidson, Thomas J., Sarpeshkar, Rahul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
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

Internet

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

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