Visual Feature Integration in a World of Objects

By W. Prinzmetal. 1995

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sjoerd van Steenkiste
2. Klaus Greff
3. J. Urgen Schmidhuber
4. Yoshua Bengio
5. Sergey Levine
6. Anirudh Goyal
7. Quoc V. Le
8. Mohit Bansal

Citations in the corpus

• On the Binding Problem in Artificial Neural Networks (2020, background): “While FIT and Gestalt Psychology offer seemingly competing views of human perception, it has also been argued that these analytic and holistic views in fact complement each other (Prinzmetal, 1995).”
• A selective review of selective attention research from the past century. (2001, background): “Indeed, several of the effects of attention upon feature integration may relate to the improved localization afforded to attended stimuli (if one knows the exact locations of particular colours and shapes, one can thereby know which colours go with which shapes; see Cohen & Ivry, 1991; Prinzmetal, ”
• Crowding is unlike ordinary masking: distinguishing feature integration from detection. (2004, background): “Grouping may be induced by similarity in color or shape, proximity, good continuation, orthographic structure, or instructions (see Prinzmetal, 1995, for review; also see Chung et al., 2001).”