Bayesian Inference of Two-Dimensional Contrast Sensitivity Function from Data Obtained with Classical One-Dimensional Algorithms Is Efficient

The contrast sensitivity function that spans the two dimensions of contrast and spatial frequency is crucial in predicting functional vision both in research and clinical applications. In this study, the use of Bayesian inference was proposed to determine the parameters of the two-dimensional contra...

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Detalles Bibliográficos
Autores principales: Wang, Xiaoxiao, Wang, Huan, Huang, Jinfeng, Zhou, Yifeng, Tzvetanov, Tzvetomir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5222793/
https://www.ncbi.nlm.nih.gov/pubmed/28119563
http://dx.doi.org/10.3389/fnins.2016.00616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5222793/
https://www.ncbi.nlm.nih.gov/pubmed/28119563
http://dx.doi.org/10.3389/fnins.2016.00616

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