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Optimizing the learning rate for adaptive estimation of neural encoding models

Closed-loop neurotechnologies often need to adaptively learn an encoding model that relates the neural activity to the brain state, and is used for brain state decoding. The speed and accuracy of adaptive learning algorithms are critically affected by the learning rate, which dictates how fast model...

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Detalles Bibliográficos
Autores principales: Hsieh, Han-Lin, Shanechi, Maryam M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993334/
https://www.ncbi.nlm.nih.gov/pubmed/29813069
http://dx.doi.org/10.1371/journal.pcbi.1006168