Cargando…

Exploring the Common Mechanisms of Motion-Based Visual Prediction

Human vision supports prediction for moving stimuli. Here we take an individual differences approach to investigate whether there could be a common processing rate for motion-based visual prediction across diverse motion phenomena. Motion Induced Spatial Conflict (MISC) refers to an incongruity aris...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Dan, Ison, Matias, Johnston, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981589/
https://www.ncbi.nlm.nih.gov/pubmed/35391983
http://dx.doi.org/10.3389/fpsyg.2022.827029
_version_ 1784681633366933504
author Hu, Dan
Ison, Matias
Johnston, Alan
author_facet Hu, Dan
Ison, Matias
Johnston, Alan
author_sort Hu, Dan
collection PubMed
description Human vision supports prediction for moving stimuli. Here we take an individual differences approach to investigate whether there could be a common processing rate for motion-based visual prediction across diverse motion phenomena. Motion Induced Spatial Conflict (MISC) refers to an incongruity arising from two edges of a combined stimulus, moving rigidly, but with different apparent speeds. This discrepancy induces an illusory jitter that has been attributed to conflict within a motion prediction mechanism. Its apparent frequency has been shown to correlate with the frequency of alpha oscillations in the brain. We asked what other psychophysical measures might correlate positively with MISC frequency. We measured the correlation between MISC jitter frequency and another three measures that might be linked to motion-based spatial prediction. We demonstrate that the illusory jitter frequency in MISC correlates significantly with the accrual rate of the Motion Induced Position Shift (MIPS) effect - the well-established observation that a carrier movement in a static envelope of a Gabor target leads to an apparent position shift of the envelope in the direction of motion. We did not observe significant correlations with the other two measures – the Adaptation Induced Spatial Shift accrual rate (AISS) and the Smooth Motion Threshold (SMT). These results suggest a shared perceptual rate between MISC and MIPS, implying a common periodic mechanism for motion-based visual prediction.
format Online
Article
Text
id pubmed-8981589
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-89815892022-04-06 Exploring the Common Mechanisms of Motion-Based Visual Prediction Hu, Dan Ison, Matias Johnston, Alan Front Psychol Psychology Human vision supports prediction for moving stimuli. Here we take an individual differences approach to investigate whether there could be a common processing rate for motion-based visual prediction across diverse motion phenomena. Motion Induced Spatial Conflict (MISC) refers to an incongruity arising from two edges of a combined stimulus, moving rigidly, but with different apparent speeds. This discrepancy induces an illusory jitter that has been attributed to conflict within a motion prediction mechanism. Its apparent frequency has been shown to correlate with the frequency of alpha oscillations in the brain. We asked what other psychophysical measures might correlate positively with MISC frequency. We measured the correlation between MISC jitter frequency and another three measures that might be linked to motion-based spatial prediction. We demonstrate that the illusory jitter frequency in MISC correlates significantly with the accrual rate of the Motion Induced Position Shift (MIPS) effect - the well-established observation that a carrier movement in a static envelope of a Gabor target leads to an apparent position shift of the envelope in the direction of motion. We did not observe significant correlations with the other two measures – the Adaptation Induced Spatial Shift accrual rate (AISS) and the Smooth Motion Threshold (SMT). These results suggest a shared perceptual rate between MISC and MIPS, implying a common periodic mechanism for motion-based visual prediction. Frontiers Media S.A. 2022-03-22 /pmc/articles/PMC8981589/ /pubmed/35391983 http://dx.doi.org/10.3389/fpsyg.2022.827029 Text en Copyright © 2022 Hu, Ison and Johnston. https://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 or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 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 Psychology
Hu, Dan
Ison, Matias
Johnston, Alan
Exploring the Common Mechanisms of Motion-Based Visual Prediction
title Exploring the Common Mechanisms of Motion-Based Visual Prediction
title_full Exploring the Common Mechanisms of Motion-Based Visual Prediction
title_fullStr Exploring the Common Mechanisms of Motion-Based Visual Prediction
title_full_unstemmed Exploring the Common Mechanisms of Motion-Based Visual Prediction
title_short Exploring the Common Mechanisms of Motion-Based Visual Prediction
title_sort exploring the common mechanisms of motion-based visual prediction
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981589/
https://www.ncbi.nlm.nih.gov/pubmed/35391983
http://dx.doi.org/10.3389/fpsyg.2022.827029
work_keys_str_mv AT hudan exploringthecommonmechanismsofmotionbasedvisualprediction
AT isonmatias exploringthecommonmechanismsofmotionbasedvisualprediction
AT johnstonalan exploringthecommonmechanismsofmotionbasedvisualprediction