Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ling, Xiao, Silson, Edward H., McIntosh, Robert D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568268/
https://www.ncbi.nlm.nih.gov/pubmed/34735455
http://dx.doi.org/10.1371/journal.pone.0254195
_version_ 1784594402784575488
author Ling, Xiao
Silson, Edward H.
McIntosh, Robert D.
author_facet Ling, Xiao
Silson, Edward H.
McIntosh, Robert D.
author_sort Ling, Xiao
collection PubMed
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 Online
Article
Text
id pubmed-8568268
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-85682682021-11-05 Did you see it? A Python tool for psychophysical assessment of the human blind spot Ling, Xiao Silson, Edward H. McIntosh, Robert D. PLoS One Research Article 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. Public Library of Science 2021-11-04 /pmc/articles/PMC8568268/ /pubmed/34735455 http://dx.doi.org/10.1371/journal.pone.0254195 Text en © 2021 Ling et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ling, Xiao
Silson, Edward H.
McIntosh, Robert D.
Did you see it? A Python tool for psychophysical assessment of the human blind spot
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568268/
https://www.ncbi.nlm.nih.gov/pubmed/34735455
http://dx.doi.org/10.1371/journal.pone.0254195
work_keys_str_mv AT lingxiao didyouseeitapythontoolforpsychophysicalassessmentofthehumanblindspot
AT silsonedwardh didyouseeitapythontoolforpsychophysicalassessmentofthehumanblindspot
AT mcintoshrobertd didyouseeitapythontoolforpsychophysicalassessmentofthehumanblindspot