Statistical processing: computing the average size in perceptual groups.
By Sang Chul Chong, Anne Treisman. Vision Research, 2005
327 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Food Science, Social Psychology
View Paper: https://www.semanticscholar.org/paper/6b2e7dc31e117039b675512a814750a58a1d35bd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Aude Oliva
- Timothy F. Brady
- George A. Alvarez
- Nikolaus Kriegeskorte
- Antonio Torralba
- Tomaso A. Poggio
- Marcus K. Benna
- Stefano Fusi
In Food Science
In Social Psychology
Citations in the corpus
- Hierarchical Encoding in Visual Working Memory (2010, methodology): “To test this hypothesis, we used the ensemble statistic of mean size and the grouping principle of common color, both of which are known to be automatically and effortlessly computed and could act as a form of higher-order structure in visual displays (Chong & Treisman, 2005b).”
- Recognition of natural scenes from global properties: Seeing the forest without representing the trees (2008, unknown): “For example, the mean size of elements in a set is accurately and automatically perceived ([Ariely, 2001], [Chong and Treisman, 2003] and [Chong and Treisman, 2005]), as is the average orientation of peripheral elements (Parkes, Lund, Angelucci, Solomon, & Morgan, 2001); some contrast texture descri”
- The Representation of Simple Ensemble Visual Features Outside the Focus of Attention (2008, background): “In general, others have referred to these features as global features (Navon, 1977; Oliva & Torralba, 2001), holistic features (Kimchi, 1992), or sets (Ariely, 2001; Chong & Treisman, 2003; Chong & Treisman, 2005b).”