Predicting contrast sensitivity functions with digital twins

Predicting contrast sensitivity functions with digital twins

Abstract We developed and validated digital twins (DTs) for contrast sensitivity function (CSF) across 12 prediction tasks using a data-driven, generative model approach based on a hierarchical Bayesian model (HBM). For each prediction task, we utilized the HBM to compute the joint distribution of C...

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Bibliographic Details
Main Authors: Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Zhong-Lin Lu
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Digital twin
Contrast sensitivity function
Prediction
Hierarchical Bayesian modeling
Online Access:https://doi.org/10.1038/s41598-024-73859-x
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https://doi.org/10.1038/s41598-024-73859-x

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