Main content
Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: The data and code provided here accompany the following publication: Jang, H., McCormack, D., & Tong, F. (2021). Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images. PLOS Biology, 19(12): e3001418. Please acknowledge this source should you wish to describe the use of this data set in any future works.
Add important information, links, or images here to describe your project.
Citation
Recent Activity
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.