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Self-recalibrating classifiers for intracortical brain-computer interfaces
OBJECTIVE: Intracortical brain-computer interface (BCI) decoders are typically retrained daily to maintain stable performance. Self-recalibrating decoders aim to remove the burden this may present in the clinic by training themselves autonomously during normal use but have only been developed for co...
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| Publicado no: | J Neural Eng |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4393645/ https://ncbi.nlm.nih.gov/pubmed/24503597 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2560/11/2/026001 |
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