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...
Autores principales: | , , |
---|---|
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 |