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Gaussian-process-based Bayesian optimization for neurostimulation interventions in rats.
Choinière, Léo; Guay-Hottin, Rose; Picard, Rémi; Lajoie, Guillaume; Bonizzato, Marco; Dancause, Numa.
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  • Choinière L; Department of Neurosciences and Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage (CIRCA), Université de Montréal, Montreal, QC H3T 1J4, Canada; Mila - Québec AI Institute, Montreal, QC H2S 3H1, Canada. Electronic address: leo.choiniere@umontreal.ca.
  • Guay-Hottin R; Department of Neurosciences and Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage (CIRCA), Université de Montréal, Montreal, QC H3T 1J4, Canada; Department of Electrical Engineering and Institute of Biomedical Engineering, Polytechnique Montréal, Montreal, QC H3T 1J4, Canada;
  • Picard R; Department of Neurosciences and Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage (CIRCA), Université de Montréal, Montreal, QC H3T 1J4, Canada; Department of Electrical Engineering and Institute of Biomedical Engineering, Polytechnique Montréal, Montreal, QC H3T 1J4, Canada.
  • Lajoie G; Mila - Québec AI Institute, Montreal, QC H2S 3H1, Canada; Mathematics and Statistics Department, Université de Montréal, Montreal, QC H3T 1J4, Canada.
  • Bonizzato M; Department of Neurosciences and Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage (CIRCA), Université de Montréal, Montreal, QC H3T 1J4, Canada; Department of Electrical Engineering and Institute of Biomedical Engineering, Polytechnique Montréal, Montreal, QC H3T 1J4, Canada;
  • Dancause N; Department of Neurosciences and Centre Interdisciplinaire de Recherche sur le Cerveau et l'Apprentissage (CIRCA), Université de Montréal, Montreal, QC H3T 1J4, Canada. Electronic address: numa.dancause@umontreal.ca.
STAR Protoc ; 5(1): 102885, 2024 Mar 15.
Article en En | MEDLINE | ID: mdl-38358881
ABSTRACT
Effective neural stimulation requires adequate parametrization. Gaussian-process (GP)-based Bayesian optimization (BO) offers a framework to discover optimal stimulation parameters in real time. Here, we first provide a general protocol to deploy this framework in neurostimulation interventions and follow by exemplifying its use in detail. Specifically, we describe the steps to implant rats with multi-channel electrode arrays in the hindlimb motor cortex. We then detail how to utilize the GP-BO algorithm to maximize evoked target movements, measured as electromyographic responses. For complete details on the use and execution of this protocol, please refer to Bonizzato and colleagues (2023).1.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos Límite: Animals Idioma: En Revista: STAR Protoc Año: 2024 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos Límite: Animals Idioma: En Revista: STAR Protoc Año: 2024 Tipo del documento: Article