Compulsory averaging of crowded orientation signals in human vision

By L. Parkes, Jennifer S. Lund, Alessandra Angelucci, J. Solomon, Michael J. Morgan. Nature Neuroscience, 2001

913 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ca83c68b9b05fadc8e701776f23d5ddabcb002cd

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

Citations in the corpus

Crowding--an essential bottleneck for object recognition: a mini-review. (2008, background): “…which is not susceptible to crowding.2 In contrast, a number of studies have shown that in peripheral vision, crowding is not relieved by adding additional flankers (Felisberti, Solomon, & Morgan, 2005; Parkes et al., 2001; Pelli et al., 2004; Strasburger et al., 1991; Wilkinson et al., 1997).”
Attention Routines and the Architecture of Selection (2004, background): “The N is not in fact lost but contributes efficiently to our judgments of the texture itself (Parkes et al, 2001).”
Peripheral vision and pattern recognition: a review. (2011, methodology): “Following the idea of Pelli (2008) to consider the mapping of critical spacing onto cortical areas, the analogy between M scaling and Bouma's rule can be taken one step further: In Section 3.”
Recognition of natural scenes from global properties: Seeing the forest without representing the trees (2008, neutral): “For example, the mean size of elements in a set is accurately and automatically perceived (Ariely, 2001; Chong & Treisman, 2003, 2005), as is the average orientation of peripheral elements ( Parkes, Lund, Angelucci, Solomon, & Morgan, 2001 ); some contrast texture descriptors (Chubb, Nam, Bindman, &”
Visual Crowding: a fundamental limit on conscious perception and object recognition (2011, background): “[25] found that the orientation signals from the target and flankers in a cluttered peripheral display were pooled rather than being lost through masking.”
Visual Clutter Causes High-Magnitude Errors (2006, background): “For example, the linear summation model favored by many [14,21] could never produce bimodality given the central limit theorem (the sum of many”
Representation of statistical properties. (2003, methodology): “However, Parkes et al. (2001) showed that humans could reliably estimate the average orientation even in conditions in which they were unable to report the orientation of any individual patch.”
Metamers of the ventral stream (2011, background): “Crowding has been hypothesized to arise from compulsory pooling of peripheral informatio”
Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. (2006, background): “…literature suggests that our visual system computes a global statistical summary of the image in a pre-selective stage of visual processing or at least, with minimal attentional resources (mean orientation, Parkes et al., 2001; mean of set of objects, Ariely, 2001; Chong & Treisman, 2003).”
Rapid extraction of mean emotion and gender from sets of faces. (2007, neutral): “If we were not able to extract summary statistics from arrays of dots [1] or gratings [3], texture perception itself would be difficult or impossible.”
The Representation of Simple Ensemble Visual Features Outside the Focus of Attention (2008, background): “Moreover, an ensemble can include relatively simple features, such asthemeansizeorthecentroidofacollectionofobjects,ormore complex features, such as particular combinations of local orientation and spatial-frequency information ( Parkes, Lund, Angelucci,Solomon,M Torralba,Oliva,Castelhano, & Henders”