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Motion direction is represented as a bimodal probability distribution in the human visual cortex
Humans infer motion direction from noisy sensory signals. We hypothesize that to make these inferences more precise, the visual system computes motion direction not only from velocity but also spatial orientation signals – a ‘streak’ created by moving objects. We implement this hypothesis in a Bayes...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665457/ https://www.ncbi.nlm.nih.gov/pubmed/37993430 http://dx.doi.org/10.1038/s41467-023-43251-w |
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author | Chetverikov, Andrey Jehee, Janneke F. M. |
author_facet | Chetverikov, Andrey Jehee, Janneke F. M. |
author_sort | Chetverikov, Andrey |
collection | PubMed |
description | Humans infer motion direction from noisy sensory signals. We hypothesize that to make these inferences more precise, the visual system computes motion direction not only from velocity but also spatial orientation signals – a ‘streak’ created by moving objects. We implement this hypothesis in a Bayesian model, which quantifies knowledge with probability distributions, and test its predictions using psychophysics and fMRI. Using a probabilistic pattern-based analysis, we decode probability distributions of motion direction from trial-by-trial activity in the human visual cortex. Corroborating the predictions, the decoded distributions have a bimodal shape, with peaks that predict the direction and magnitude of behavioral errors. Interestingly, we observe similar bimodality in the distribution of the observers’ behavioral responses across trials. Together, these results suggest that observers use spatial orientation signals when estimating motion direction. More broadly, our findings indicate that the cortical representation of low-level visual features, such as motion direction, can reflect a combination of several qualitatively distinct signals. |
format | Online Article Text |
id | pubmed-10665457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106654572023-11-22 Motion direction is represented as a bimodal probability distribution in the human visual cortex Chetverikov, Andrey Jehee, Janneke F. M. Nat Commun Article Humans infer motion direction from noisy sensory signals. We hypothesize that to make these inferences more precise, the visual system computes motion direction not only from velocity but also spatial orientation signals – a ‘streak’ created by moving objects. We implement this hypothesis in a Bayesian model, which quantifies knowledge with probability distributions, and test its predictions using psychophysics and fMRI. Using a probabilistic pattern-based analysis, we decode probability distributions of motion direction from trial-by-trial activity in the human visual cortex. Corroborating the predictions, the decoded distributions have a bimodal shape, with peaks that predict the direction and magnitude of behavioral errors. Interestingly, we observe similar bimodality in the distribution of the observers’ behavioral responses across trials. Together, these results suggest that observers use spatial orientation signals when estimating motion direction. More broadly, our findings indicate that the cortical representation of low-level visual features, such as motion direction, can reflect a combination of several qualitatively distinct signals. Nature Publishing Group UK 2023-11-22 /pmc/articles/PMC10665457/ /pubmed/37993430 http://dx.doi.org/10.1038/s41467-023-43251-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chetverikov, Andrey Jehee, Janneke F. M. Motion direction is represented as a bimodal probability distribution in the human visual cortex |
title | Motion direction is represented as a bimodal probability distribution in the human visual cortex |
title_full | Motion direction is represented as a bimodal probability distribution in the human visual cortex |
title_fullStr | Motion direction is represented as a bimodal probability distribution in the human visual cortex |
title_full_unstemmed | Motion direction is represented as a bimodal probability distribution in the human visual cortex |
title_short | Motion direction is represented as a bimodal probability distribution in the human visual cortex |
title_sort | motion direction is represented as a bimodal probability distribution in the human visual cortex |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665457/ https://www.ncbi.nlm.nih.gov/pubmed/37993430 http://dx.doi.org/10.1038/s41467-023-43251-w |
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