New publication: The equivalent internal orientation and position noise for contour integration October 15, 2017 by Alex Baldwin “Contour integration is the joining-up of local responses to parts of a contour into a continuous percept. In typical studies observers detect contours formed of discrete wavelets, presented against a background of random wavelets. This measures performance for detecting contours in the limiting external noise that background provides. Our novel task measures contour integration without requiring any background noise...” Read on nature.com