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Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization
Brain-machine interface (BMI) systems give users direct neural control of robotic, communication, or functional electrical stimulation systems. As BMI systems begin transitioning from laboratory settings into activities of daily living, an important goal is to develop neural decoding algorithms that...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3907465/ https://ncbi.nlm.nih.gov/pubmed/24498055 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0087253 |
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