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Self-motivated visual scanning predicts flexible navigation in a virtual environment
The ability to navigate flexibly (e.g., reorienting oneself based on distal landmarks to reach a learned target from a new position) may rely on visual scanning during both initial experiences with the environment and subsequent test trials. Reliance on visual scanning during navigation harkens back...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877774/ https://www.ncbi.nlm.nih.gov/pubmed/24427132 http://dx.doi.org/10.3389/fnhum.2013.00892 |
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author | Ploran, Elisabeth J. Bevitt, Jacob Oshiro, Jaris Parasuraman, Raja Thompson, James C. |
author_facet | Ploran, Elisabeth J. Bevitt, Jacob Oshiro, Jaris Parasuraman, Raja Thompson, James C. |
author_sort | Ploran, Elisabeth J. |
collection | PubMed |
description | The ability to navigate flexibly (e.g., reorienting oneself based on distal landmarks to reach a learned target from a new position) may rely on visual scanning during both initial experiences with the environment and subsequent test trials. Reliance on visual scanning during navigation harkens back to the concept of vicarious trial and error, a description of the side-to-side head movements made by rats as they explore previously traversed sections of a maze in an attempt to find a reward. In the current study, we examined if visual scanning predicted the extent to which participants would navigate to a learned location in a virtual environment defined by its position relative to distal landmarks. Our results demonstrated a significant positive relationship between the amount of visual scanning and participant accuracy in identifying the trained target location from a new starting position as long as the landmarks within the environment remain consistent with the period of original learning. Our findings indicate that active visual scanning of the environment is a deliberative attentional strategy that supports the formation of spatial representations for flexible navigation. |
format | Online Article Text |
id | pubmed-3877774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38777742014-01-14 Self-motivated visual scanning predicts flexible navigation in a virtual environment Ploran, Elisabeth J. Bevitt, Jacob Oshiro, Jaris Parasuraman, Raja Thompson, James C. Front Hum Neurosci Neuroscience The ability to navigate flexibly (e.g., reorienting oneself based on distal landmarks to reach a learned target from a new position) may rely on visual scanning during both initial experiences with the environment and subsequent test trials. Reliance on visual scanning during navigation harkens back to the concept of vicarious trial and error, a description of the side-to-side head movements made by rats as they explore previously traversed sections of a maze in an attempt to find a reward. In the current study, we examined if visual scanning predicted the extent to which participants would navigate to a learned location in a virtual environment defined by its position relative to distal landmarks. Our results demonstrated a significant positive relationship between the amount of visual scanning and participant accuracy in identifying the trained target location from a new starting position as long as the landmarks within the environment remain consistent with the period of original learning. Our findings indicate that active visual scanning of the environment is a deliberative attentional strategy that supports the formation of spatial representations for flexible navigation. Frontiers Media S.A. 2014-01-02 /pmc/articles/PMC3877774/ /pubmed/24427132 http://dx.doi.org/10.3389/fnhum.2013.00892 Text en Copyright © 2014 Ploran, Bevitt, Oshiro, Parasuraman and Thompson. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Ploran, Elisabeth J. Bevitt, Jacob Oshiro, Jaris Parasuraman, Raja Thompson, James C. Self-motivated visual scanning predicts flexible navigation in a virtual environment |
title | Self-motivated visual scanning predicts flexible navigation in a virtual environment |
title_full | Self-motivated visual scanning predicts flexible navigation in a virtual environment |
title_fullStr | Self-motivated visual scanning predicts flexible navigation in a virtual environment |
title_full_unstemmed | Self-motivated visual scanning predicts flexible navigation in a virtual environment |
title_short | Self-motivated visual scanning predicts flexible navigation in a virtual environment |
title_sort | self-motivated visual scanning predicts flexible navigation in a virtual environment |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877774/ https://www.ncbi.nlm.nih.gov/pubmed/24427132 http://dx.doi.org/10.3389/fnhum.2013.00892 |
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