Beyond Bouma's window: How to explain global aspects of crowding?

A. Doerig, A. Bornet, R. Rosenholtz, G. Francis, A. M. Clarke, M. H. Herzog


Abstract

In crowding, perception of an object deteriorates in the presence of nearby elements. Although crowding is a ubiquitous phenomenon, since elements are rarely seen in isolation, to date there exists no consensus on how to model it. Previous experiments showed that the global configuration of the entire stimulus must be taken into account. These findings rule out simple pooling or substitution models and favor models sensitive to global spatial aspects. In order to investigate how to incorporate global aspects into models, we tested a large number of models with a database of forty stimuli tailored for the global aspects of crowding. Our results show that incorporating grouping like components strongly improves model performance.

Information

title:
Beyond Bouma's window: How to explain global aspects of crowding?
author:
A. Doerig,
A. Bornet,
R. Rosenholtz,
G. Francis,
A. M. Clarke,
M. H. Herzog
citation:
PLOS Computational Biology
shortcite:
PLOS Computational Biology
year:
2019
created:
2019-11-18
summary:
beyondbouma
keyword:
rosenholtz,
visstat,
crowding,
peripheral_vision
pdf:
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006580
type:
publication
 
publications/beyondbouma.txt · Last modified: 2019/11/18 14:37 by rosenholtz