Cargando…
Preattentive and Predictive Processing of Visual Motion
Interaction with the environment requires fast and reliable sensory processing. The visual system is confronted with a continuous flow of high-dimensional input (e.g. orientation, color, motion). From a theoretical point of view, it would be advantageous if critical information was processed indepen...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6098031/ https://www.ncbi.nlm.nih.gov/pubmed/30120337 http://dx.doi.org/10.1038/s41598-018-30832-9 |
_version_ | 1783348390668533760 |
---|---|
author | Schmitt, Constanze Klingenhoefer, Steffen Bremmer, Frank |
author_facet | Schmitt, Constanze Klingenhoefer, Steffen Bremmer, Frank |
author_sort | Schmitt, Constanze |
collection | PubMed |
description | Interaction with the environment requires fast and reliable sensory processing. The visual system is confronted with a continuous flow of high-dimensional input (e.g. orientation, color, motion). From a theoretical point of view, it would be advantageous if critical information was processed independent of attentional load, i.e. preattentively. Here, we hypothesized that visual motion is such a critical signal and aimed for a neural signature of its preattentive encoding. Furthermore, we were interested in the neural correlates of predictability of linear motion trajectories based on the presence or absence of preceding motion. We presented a visual oddball paradigm and studied event-related potentials (ERPs). Stimuli were linearly moving Gabor patches that disappeared behind an occluder. The difference between deviant and standard trials was a trajectory change which happened behind the occluder in deviant trials only, inducing a prediction error. As hypothesized, we found a visual mismatch negativity-component over parietal and occipital electrodes. In a further condition, trials without preceding motion were presented in which the patch just appeared from behind the occluder and, hence, was not predictable. We found larger ERP-components for unpredictable stimuli. In summary, our results provide evidence for a preattentive and predictive processing of linear trajectories of visual motion. |
format | Online Article Text |
id | pubmed-6098031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60980312018-08-23 Preattentive and Predictive Processing of Visual Motion Schmitt, Constanze Klingenhoefer, Steffen Bremmer, Frank Sci Rep Article Interaction with the environment requires fast and reliable sensory processing. The visual system is confronted with a continuous flow of high-dimensional input (e.g. orientation, color, motion). From a theoretical point of view, it would be advantageous if critical information was processed independent of attentional load, i.e. preattentively. Here, we hypothesized that visual motion is such a critical signal and aimed for a neural signature of its preattentive encoding. Furthermore, we were interested in the neural correlates of predictability of linear motion trajectories based on the presence or absence of preceding motion. We presented a visual oddball paradigm and studied event-related potentials (ERPs). Stimuli were linearly moving Gabor patches that disappeared behind an occluder. The difference between deviant and standard trials was a trajectory change which happened behind the occluder in deviant trials only, inducing a prediction error. As hypothesized, we found a visual mismatch negativity-component over parietal and occipital electrodes. In a further condition, trials without preceding motion were presented in which the patch just appeared from behind the occluder and, hence, was not predictable. We found larger ERP-components for unpredictable stimuli. In summary, our results provide evidence for a preattentive and predictive processing of linear trajectories of visual motion. Nature Publishing Group UK 2018-08-17 /pmc/articles/PMC6098031/ /pubmed/30120337 http://dx.doi.org/10.1038/s41598-018-30832-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Schmitt, Constanze Klingenhoefer, Steffen Bremmer, Frank Preattentive and Predictive Processing of Visual Motion |
title | Preattentive and Predictive Processing of Visual Motion |
title_full | Preattentive and Predictive Processing of Visual Motion |
title_fullStr | Preattentive and Predictive Processing of Visual Motion |
title_full_unstemmed | Preattentive and Predictive Processing of Visual Motion |
title_short | Preattentive and Predictive Processing of Visual Motion |
title_sort | preattentive and predictive processing of visual motion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6098031/ https://www.ncbi.nlm.nih.gov/pubmed/30120337 http://dx.doi.org/10.1038/s41598-018-30832-9 |
work_keys_str_mv | AT schmittconstanze preattentiveandpredictiveprocessingofvisualmotion AT klingenhoefersteffen preattentiveandpredictiveprocessingofvisualmotion AT bremmerfrank preattentiveandpredictiveprocessingofvisualmotion |