| dc.contributor.author | Rosenholtz, Ruth | |
| dc.contributor.author | Yu, Dian | |
| dc.contributor.author | Keshvari, Shaiyan | |
| dc.date.accessioned | 2020-02-12T22:32:31Z | |
| dc.date.available | 2020-02-12T22:32:31Z | |
| dc.date.issued | 2019-07 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/123796 | |
| dc.description.abstract | Our Texture Tiling Model takes a stimulus and fixation as the input, and outputs visualizations of the information available in peripheral vision, according to the model. We call these output images "mongrels". Each input image and fixation corresponds to a number such mongrels. Details that are clear in the mongrels are predicted to be readily available in peripheral vision, and details that are not consistently clear in the mongrels are predicted to be lost or less readily available. This set are additional examples to supplement those shown in our review paper:
Ruth Rosenholtz, Dian Yu, Shaiyan Keshvari; Challenges to pooling models of crowding: Implications for visual mechanisms. Journal of Vision 2019;19(7):15. doi: https://doi.org/10.1167/19.7.15. | en_US |
| dc.description.sponsorship | National Science Foundation/National Institutes of Health/(German) Federal Ministry of Education and Research Grant IIS-1607486 and National Science Foundation Grant BCS-1826757 (both to RR) | en_US |
| dc.subject | crowding | en_US |
| dc.subject | peripheral vision | en_US |
| dc.subject | computational model | en_US |
| dc.subject | mongrels | en_US |
| dc.title | Example outputs of the Texture Tiling Model ("mongrels") | en_US |
| dc.type | Image | en_US |
| dc.identifier.citation | Ruth Rosenholtz, Dian Yu, Shaiyan Keshvari; Challenges to pooling models of crowding: Implications for visual mechanisms. Journal of Vision 2019;19(7):15. doi: https://doi.org/10.1167/19.7.15. | en_US |
