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Use of a Bayesian maximum likelihood classifier to generate training data for brain-machine interfaces
Brain-machine interface decoding algorithms need to be predicated on assumptions that are easily met outside of an experimental setting to enable a practical clinical device. Given present technology limitations, there is a need for decoding algorithms which a) are not dependent upon a large number...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3145156/ https://ncbi.nlm.nih.gov/pubmed/21654038 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2560/8/4/046009 |
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