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A Bayesian hierarchical model of local-global processing: Visual crowding as a case-study

Zhang, Shunan ; Song, Man ; Yu, Angela J (2015)
A Bayesian hierarchical model of local-global processing: Visual crowding as a case-study.
37th Annual Meeting of the Cognitive Science Society (Cogsci 2015). Pasadena, California (23.07.2015-25.07.2015)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

We explore the interaction between local-global information processing in visual perception, leveraging a visual phenomenon known as crowding, whereby the perception of a target stimulus is impaired by the presence of nearby flankers. The majority of established models explain the crowding effect in terms of local interactions. However, recent experimental results indicate that a classical crowding effect, the deterioration in the discrimination of a vernier stimulus embedded in a square, is alleviated by the presence of additional flanker squares (“uncrowding”). Here, we propose that crowding and uncrowding arise from cortical inferences about hierarchically organized groups, and formalize this concept using a hierarchical Bayesian model. We show that the model reproduces both crowding and uncrowding for flanked vernier discrimination. More generally, the model provides a normative explanation of how visual information might simultaneously flow bottom-up, top-down, and laterally, to allow the visual system to interactively process local and global features in the visual scene.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2015
Autor(en): Zhang, Shunan ; Song, Man ; Yu, Angela J
Art des Eintrags: Bibliographie
Titel: A Bayesian hierarchical model of local-global processing: Visual crowding as a case-study
Sprache: Englisch
Publikationsjahr: 2015
Ort: Seattle
Verlag: Cognitive Science Society
Buchtitel: Proceedings of the Annual Meeting of the Cognitive Science Society
Band einer Reihe: 37
Veranstaltungstitel: 37th Annual Meeting of the Cognitive Science Society (Cogsci 2015)
Veranstaltungsort: Pasadena, California
Veranstaltungsdatum: 23.07.2015-25.07.2015
URL / URN: https://cognitivesciencesociety.org/wp-content/uploads/2019/...
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Kurzbeschreibung (Abstract):

We explore the interaction between local-global information processing in visual perception, leveraging a visual phenomenon known as crowding, whereby the perception of a target stimulus is impaired by the presence of nearby flankers. The majority of established models explain the crowding effect in terms of local interactions. However, recent experimental results indicate that a classical crowding effect, the deterioration in the discrimination of a vernier stimulus embedded in a square, is alleviated by the presence of additional flanker squares (“uncrowding”). Here, we propose that crowding and uncrowding arise from cortical inferences about hierarchically organized groups, and formalize this concept using a hierarchical Bayesian model. We show that the model reproduces both crowding and uncrowding for flanked vernier discrimination. More generally, the model provides a normative explanation of how visual information might simultaneously flow bottom-up, top-down, and laterally, to allow the visual system to interactively process local and global features in the visual scene.

Fachbereich(e)/-gebiet(e): 03 Fachbereich Humanwissenschaften
03 Fachbereich Humanwissenschaften > Institut für Psychologie
Hinterlegungsdatum: 01 Nov 2023 08:59
Letzte Änderung: 16 Nov 2023 06:48
PPN: 513219498
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