Peripheral vision (IMAGE) Massachusetts Institute of Technology Caption Researchers started with a set of images, and used three different computer vision models to synthesize representations of those images from noise: a “normal” machine-learning model, one that had been trained to be adversarially robust, and one that had been specifically designed to account for some aspects of human peripheral processing, called Textorms. Credit Image courtesy of Arturo Deza and Anne Harrington Usage Restrictions Images are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images. License Original content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.