Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering

Much progress has been made in brain-machine interfaces (BMI) using decoders such as Kalman filters and finding their parameters with closed-loop decoder adaptation (CLDA). However, current decoders do not model the spikes directly, and hence may limit the processing time-scale of BMI control and ad...

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Detalles Bibliográficos
Autores principales: Shanechi, Maryam M., Orsborn, Amy L., Carmena, Jose M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818102/
https://www.ncbi.nlm.nih.gov/pubmed/27035820
http://dx.doi.org/10.1371/journal.pcbi.1004730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818102/
https://www.ncbi.nlm.nih.gov/pubmed/27035820
http://dx.doi.org/10.1371/journal.pcbi.1004730

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