Challenges to pooling models of crowding: Implications for visual mechanisms-Reference-Cited by-同舟云学术

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Challenges to pooling models of crowding: Implications for visual mechanisms

Published:2019-07-26 Issue:7 Volume:19 Page:15
ISSN:1534-7362
Container-title:Journal of Vision
language:en
Short-container-title:Journal of Vision

Author:

Rosenholtz Ruth¹²³,Yu Dian¹⁴,Keshvari Shaiyan¹²⁵

Affiliation:

1. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA

2. Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

3. rruth@mit.edu

4. dyumit17@gmail.com

5. shaiyan.o.keshvari@gmail.com

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Sensory Systems,Ophthalmology

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