Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization

BACKGROUND: Selecting optimal stimulation parameters from numerous possibilities is a major obstacle for assessing the efficacy of non-invasive brain stimulation. OBJECTIVE: We demonstrate that Bayesian optimization can rapidly search through large parameter spaces and identify subject-level stimula...

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Detalles Bibliográficos
Autores principales: Lorenz, Romy, Simmons, Laura E., Monti, Ricardo P., Arthur, Joy L., Limal, Severin, Laakso, Ilkka, Leech, Robert, Violante, Ines R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879005/
https://www.ncbi.nlm.nih.gov/pubmed/31289013
http://dx.doi.org/10.1016/j.brs.2019.07.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879005/
https://www.ncbi.nlm.nih.gov/pubmed/31289013
http://dx.doi.org/10.1016/j.brs.2019.07.003

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