Efficient sampling-based Bayesian Active Learning for synaptic characterization

Bayesian Active Learning (BAL) is an efficient framework for learning the parameters of a model, in which input stimuli are selected to maximize the mutual information between the observations and the unknown parameters. However, the applicability of BAL to experiments is limited as it requires perf...

Descripción completa

Detalles Bibliográficos
Autores principales: Gontier, Camille, Surace, Simone Carlo, Delvendahl, Igor, Müller, Martin, Pfister, Jean-Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470935/
https://www.ncbi.nlm.nih.gov/pubmed/37603559
http://dx.doi.org/10.1371/journal.pcbi.1011342

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470935/
https://www.ncbi.nlm.nih.gov/pubmed/37603559
http://dx.doi.org/10.1371/journal.pcbi.1011342

Ejemplares similares