Did you see it? A Python tool for psychophysical assessment of the human blind spot

The blind spot is a region in the temporal monocular visual field in humans, which corresponds to a physiological scotoma within the nasal hemi-retina. This region has no photoreceptors, so is insensitive to visual stimulation. There is no corresponding perceptual scotoma because the visual stimulat...

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Autores principales:	Xiao Ling, Edward H. Silson, Robert D. McIntosh
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/21ab8af7487b446581521a2c74a656f5
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spelling	oai:doaj.org-article:21ab8af7487b446581521a2c74a656f52021-11-11T07:14:37ZDid you see it? A Python tool for psychophysical assessment of the human blind spot1932-6203https://doaj.org/article/21ab8af7487b446581521a2c74a656f52021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568268/?tool=EBIhttps://doaj.org/toc/1932-6203The blind spot is a region in the temporal monocular visual field in humans, which corresponds to a physiological scotoma within the nasal hemi-retina. This region has no photoreceptors, so is insensitive to visual stimulation. There is no corresponding perceptual scotoma because the visual stimulation is “filled-in” by the visual system. Investigations of visual perception in and around the blind spot allow us to investigate this filling-in process. However, because the location and size of the blind spot are individually variable, experimenters must first map the blind spot in every observer. We present an open-source tool, which runs in Psychopy software, to estimate the location and size of the blind spot psychophysically. The tool will ideally be used with an Eyelink eye-tracker (SR Research), but it can also run in standalone mode. Here, we explain the rationale for the tool and demonstrate its validity in normally-sighted observers. We develop a detailed map of the blind spot in one observer. Then, in a group of 12 observers, we propose a more efficient, pragmatic method to define a “safe zone” within the blind spot, for which the experimenter can be fully confident that visual stimuli will not be seen. Links are provided to this open-source tool and a user manual.Xiao LingEdward H. SilsonRobert D. McIntoshPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xiao Ling Edward H. Silson Robert D. McIntosh Did you see it? A Python tool for psychophysical assessment of the human blind spot
description	The blind spot is a region in the temporal monocular visual field in humans, which corresponds to a physiological scotoma within the nasal hemi-retina. This region has no photoreceptors, so is insensitive to visual stimulation. There is no corresponding perceptual scotoma because the visual stimulation is “filled-in” by the visual system. Investigations of visual perception in and around the blind spot allow us to investigate this filling-in process. However, because the location and size of the blind spot are individually variable, experimenters must first map the blind spot in every observer. We present an open-source tool, which runs in Psychopy software, to estimate the location and size of the blind spot psychophysically. The tool will ideally be used with an Eyelink eye-tracker (SR Research), but it can also run in standalone mode. Here, we explain the rationale for the tool and demonstrate its validity in normally-sighted observers. We develop a detailed map of the blind spot in one observer. Then, in a group of 12 observers, we propose a more efficient, pragmatic method to define a “safe zone” within the blind spot, for which the experimenter can be fully confident that visual stimuli will not be seen. Links are provided to this open-source tool and a user manual.
format	article
author	Xiao Ling Edward H. Silson Robert D. McIntosh
author_facet	Xiao Ling Edward H. Silson Robert D. McIntosh
author_sort	Xiao Ling
title	Did you see it? A Python tool for psychophysical assessment of the human blind spot
title_short	Did you see it? A Python tool for psychophysical assessment of the human blind spot
title_full	Did you see it? A Python tool for psychophysical assessment of the human blind spot
title_fullStr	Did you see it? A Python tool for psychophysical assessment of the human blind spot
title_full_unstemmed	Did you see it? A Python tool for psychophysical assessment of the human blind spot
title_sort	did you see it? a python tool for psychophysical assessment of the human blind spot
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/21ab8af7487b446581521a2c74a656f5
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Did you see it? A Python tool for psychophysical assessment of the human blind spot

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