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Making brain–machine interfaces robust to future neural variability

A major hurdle to clinical translation of brain–machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when neural recording conditions subsequently change. We tested whether a decoder could be made more robust to future neural...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Sussillo, David, Stavisky, Sergey D., Kao, Jonathan C., Ryu, Stephen I., Shenoy, Krishna V.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5159828/
https://ncbi.nlm.nih.gov/pubmed/27958268
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms13749
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