NASA NTRS · 20020065516
A Visual Detection Learning Model
Abstract
Our learning model has memory templates representing the target-plus-noise and noise-alone stimulus sets. The best correlating template determines the response. The correlations and the feedback participate in the additive template updating rule. The model can predict the relative thresholds for detection in random, fixed and twin noise.
Keep this discovery
Explore connections, maps & timelines
Beard, Bettina L., Ahumada, Albert J., Jr., Trejo, Leonard. 1998-01-01. A Visual Detection Learning Model. https://ntrs.nasa.gov/citations/20020065516
Cite the original work for its findings. Save a collection to share your selection of sources.