Getting the gist of it: How do humans learn to extract the gist of a scene?
Gist processing is thought to be a global, non-selective visual process that extracts structural and statistical regularities over the whole image to access the meaning, category, or gist, of the visual scene. Humans are able to recognize the gist of a scene (e.g. a forest or a kitchen) very rapidly. However, we do not know much about the processes underlying the learning of gist of an image. Medical experts can extract the gist of abnormality in medical images, suggesting that they have learned to recognize of what makes an image abnormal or normal. This project will investigate these learning processes engaged in by medical experts and novice, comparing the accuracy of recognizing abnormalities in medical images and perceptual training leading to development of this ability.