Cargando…

Masking, crowding, and grouping: Connecting low and mid-level vision

An important task for vision science is to build a unitary framework of low- and mid-level vision. As a step on this way, our study examined differences and commonalities between masking, crowding and grouping—three processes that occur through spatial interactions between neighbouring elements. We...

Descripción completa

Detalles Bibliográficos
Autores principales: Reuther, Josephine, Chakravarthi, Ramakrishna, Martinovic, Jasna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842520/
https://www.ncbi.nlm.nih.gov/pubmed/35147663
http://dx.doi.org/10.1167/jov.22.2.7
_version_ 1784651064088199168
author Reuther, Josephine
Chakravarthi, Ramakrishna
Martinovic, Jasna
author_facet Reuther, Josephine
Chakravarthi, Ramakrishna
Martinovic, Jasna
author_sort Reuther, Josephine
collection PubMed
description An important task for vision science is to build a unitary framework of low- and mid-level vision. As a step on this way, our study examined differences and commonalities between masking, crowding and grouping—three processes that occur through spatial interactions between neighbouring elements. We measured contrast thresholds as functions of inter-element spacing and eccentricity for Gabor detection, discrimination and contour integration, using a common stimulus grid consisting of nine Gabor elements. From these thresholds, we derived a) the baseline contrast necessary to perform each task and b) the spatial extent over which task performance was stable. This spatial window can be taken as an indicator of field size, where elements that fall within a putative field are readily combined. We found that contrast thresholds were universally modulated by inter-element distance, with a shallower and inverted effect for grouping compared with masking and crowding. Baseline contrasts for detecting stimuli and discriminating their properties were positively linked across the tested retinal locations (parafovea and near periphery), whereas those for integrating elements and discriminating their properties were negatively linked. Meanwhile, masking and crowding spatial windows remained uncorrelated across eccentricity, although they were correlated across participants. This suggests that the computation performed by each type of visual field operates over different distances that co-varies across observers, but not across retinal locations. Contrast-processing units may thus lie at the core of the shared idiosyncrasies across tasks reported in many previous studies, despite the fundamental differences in the extent of their spatial windows.
format Online
Article
Text
id pubmed-8842520
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher The Association for Research in Vision and Ophthalmology
record_format MEDLINE/PubMed
spelling pubmed-88425202022-02-18 Masking, crowding, and grouping: Connecting low and mid-level vision Reuther, Josephine Chakravarthi, Ramakrishna Martinovic, Jasna J Vis Article An important task for vision science is to build a unitary framework of low- and mid-level vision. As a step on this way, our study examined differences and commonalities between masking, crowding and grouping—three processes that occur through spatial interactions between neighbouring elements. We measured contrast thresholds as functions of inter-element spacing and eccentricity for Gabor detection, discrimination and contour integration, using a common stimulus grid consisting of nine Gabor elements. From these thresholds, we derived a) the baseline contrast necessary to perform each task and b) the spatial extent over which task performance was stable. This spatial window can be taken as an indicator of field size, where elements that fall within a putative field are readily combined. We found that contrast thresholds were universally modulated by inter-element distance, with a shallower and inverted effect for grouping compared with masking and crowding. Baseline contrasts for detecting stimuli and discriminating their properties were positively linked across the tested retinal locations (parafovea and near periphery), whereas those for integrating elements and discriminating their properties were negatively linked. Meanwhile, masking and crowding spatial windows remained uncorrelated across eccentricity, although they were correlated across participants. This suggests that the computation performed by each type of visual field operates over different distances that co-varies across observers, but not across retinal locations. Contrast-processing units may thus lie at the core of the shared idiosyncrasies across tasks reported in many previous studies, despite the fundamental differences in the extent of their spatial windows. The Association for Research in Vision and Ophthalmology 2022-02-11 /pmc/articles/PMC8842520/ /pubmed/35147663 http://dx.doi.org/10.1167/jov.22.2.7 Text en Copyright 2022 The Authors https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Article
Reuther, Josephine
Chakravarthi, Ramakrishna
Martinovic, Jasna
Masking, crowding, and grouping: Connecting low and mid-level vision
title Masking, crowding, and grouping: Connecting low and mid-level vision
title_full Masking, crowding, and grouping: Connecting low and mid-level vision
title_fullStr Masking, crowding, and grouping: Connecting low and mid-level vision
title_full_unstemmed Masking, crowding, and grouping: Connecting low and mid-level vision
title_short Masking, crowding, and grouping: Connecting low and mid-level vision
title_sort masking, crowding, and grouping: connecting low and mid-level vision
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842520/
https://www.ncbi.nlm.nih.gov/pubmed/35147663
http://dx.doi.org/10.1167/jov.22.2.7
work_keys_str_mv AT reutherjosephine maskingcrowdingandgroupingconnectinglowandmidlevelvision
AT chakravarthiramakrishna maskingcrowdingandgroupingconnectinglowandmidlevelvision
AT martinovicjasna maskingcrowdingandgroupingconnectinglowandmidlevelvision