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Filling gaps in visual motion for target capture
A remarkable challenge our brain must face constantly when interacting with the environment is represented by ambiguous and, at times, even missing sensory information. This is particularly compelling for visual information, being the main sensory system we rely upon to gather cues about the externa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337337/ https://www.ncbi.nlm.nih.gov/pubmed/25755637 http://dx.doi.org/10.3389/fnint.2015.00013 |
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author | Bosco, Gianfranco Delle Monache, Sergio Gravano, Silvio Indovina, Iole La Scaleia, Barbara Maffei, Vincenzo Zago, Myrka Lacquaniti, Francesco |
author_facet | Bosco, Gianfranco Delle Monache, Sergio Gravano, Silvio Indovina, Iole La Scaleia, Barbara Maffei, Vincenzo Zago, Myrka Lacquaniti, Francesco |
author_sort | Bosco, Gianfranco |
collection | PubMed |
description | A remarkable challenge our brain must face constantly when interacting with the environment is represented by ambiguous and, at times, even missing sensory information. This is particularly compelling for visual information, being the main sensory system we rely upon to gather cues about the external world. It is not uncommon, for example, that objects catching our attention may disappear temporarily from view, occluded by visual obstacles in the foreground. Nevertheless, we are often able to keep our gaze on them throughout the occlusion or even catch them on the fly in the face of the transient lack of visual motion information. This implies that the brain can fill the gaps of missing sensory information by extrapolating the object motion through the occlusion. In recent years, much experimental evidence has been accumulated that both perceptual and motor processes exploit visual motion extrapolation mechanisms. Moreover, neurophysiological and neuroimaging studies have identified brain regions potentially involved in the predictive representation of the occluded target motion. Within this framework, ocular pursuit and manual interceptive behavior have proven to be useful experimental models for investigating visual extrapolation mechanisms. Studies in these fields have pointed out that visual motion extrapolation processes depend on manifold information related to short-term memory representations of the target motion before the occlusion, as well as to longer term representations derived from previous experience with the environment. We will review recent oculomotor and manual interception literature to provide up-to-date views on the neurophysiological underpinnings of visual motion extrapolation. |
format | Online Article Text |
id | pubmed-4337337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43373372015-03-09 Filling gaps in visual motion for target capture Bosco, Gianfranco Delle Monache, Sergio Gravano, Silvio Indovina, Iole La Scaleia, Barbara Maffei, Vincenzo Zago, Myrka Lacquaniti, Francesco Front Integr Neurosci Neuroscience A remarkable challenge our brain must face constantly when interacting with the environment is represented by ambiguous and, at times, even missing sensory information. This is particularly compelling for visual information, being the main sensory system we rely upon to gather cues about the external world. It is not uncommon, for example, that objects catching our attention may disappear temporarily from view, occluded by visual obstacles in the foreground. Nevertheless, we are often able to keep our gaze on them throughout the occlusion or even catch them on the fly in the face of the transient lack of visual motion information. This implies that the brain can fill the gaps of missing sensory information by extrapolating the object motion through the occlusion. In recent years, much experimental evidence has been accumulated that both perceptual and motor processes exploit visual motion extrapolation mechanisms. Moreover, neurophysiological and neuroimaging studies have identified brain regions potentially involved in the predictive representation of the occluded target motion. Within this framework, ocular pursuit and manual interceptive behavior have proven to be useful experimental models for investigating visual extrapolation mechanisms. Studies in these fields have pointed out that visual motion extrapolation processes depend on manifold information related to short-term memory representations of the target motion before the occlusion, as well as to longer term representations derived from previous experience with the environment. We will review recent oculomotor and manual interception literature to provide up-to-date views on the neurophysiological underpinnings of visual motion extrapolation. Frontiers Media S.A. 2015-02-23 /pmc/articles/PMC4337337/ /pubmed/25755637 http://dx.doi.org/10.3389/fnint.2015.00013 Text en Copyright © 2015 Bosco, Delle Monache, Gravano, Indovina, La Scaleia, Maffei, Zago and Lacquaniti. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and 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 Bosco, Gianfranco Delle Monache, Sergio Gravano, Silvio Indovina, Iole La Scaleia, Barbara Maffei, Vincenzo Zago, Myrka Lacquaniti, Francesco Filling gaps in visual motion for target capture |
title | Filling gaps in visual motion for target capture |
title_full | Filling gaps in visual motion for target capture |
title_fullStr | Filling gaps in visual motion for target capture |
title_full_unstemmed | Filling gaps in visual motion for target capture |
title_short | Filling gaps in visual motion for target capture |
title_sort | filling gaps in visual motion for target capture |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337337/ https://www.ncbi.nlm.nih.gov/pubmed/25755637 http://dx.doi.org/10.3389/fnint.2015.00013 |
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