Gaussian-process-based Bayesian optimization for neurostimulation interventions in rats

Gaussian-process-based Bayesian optimization for neurostimulation interventions in rats

Summary: 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 intervent...

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Bibliographic Details
Main Authors: Léo Choinière, Rose Guay-Hottin, Rémi Picard, Guillaume Lajoie, Marco Bonizzato, Numa Dancause
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:STAR Protocols
Subjects:
Neuroscience
Systems biology
Computer sciences
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166724000509

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http://www.sciencedirect.com/science/article/pii/S2666166724000509

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