Human visual motion perception shows hallmarks of Bayesian structural inference

Abstract Motion relations in visual scenes carry an abundance of behaviorally relevant information, but little is known about how humans identify the structure underlying a scene’s motion in the first place. We studied the computations governing human motion structure identification in two psychophy...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sichao Yang, Johannes Bill, Jan Drugowitsch, Samuel J. Gershman
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/495966a0f45d4dc5994f8c1bc7ed5229
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:495966a0f45d4dc5994f8c1bc7ed5229
record_format	dspace
spelling	oai:doaj.org-article:495966a0f45d4dc5994f8c1bc7ed52292021-12-02T14:11:31ZHuman visual motion perception shows hallmarks of Bayesian structural inference10.1038/s41598-021-82175-72045-2322https://doaj.org/article/495966a0f45d4dc5994f8c1bc7ed52292021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82175-7https://doaj.org/toc/2045-2322Abstract Motion relations in visual scenes carry an abundance of behaviorally relevant information, but little is known about how humans identify the structure underlying a scene’s motion in the first place. We studied the computations governing human motion structure identification in two psychophysics experiments and found that perception of motion relations showed hallmarks of Bayesian structural inference. At the heart of our research lies a tractable task design that enabled us to reveal the signatures of probabilistic reasoning about latent structure. We found that a choice model based on the task’s Bayesian ideal observer accurately matched many facets of human structural inference, including task performance, perceptual error patterns, single-trial responses, participant-specific differences, and subjective decision confidence—especially, when motion scenes were ambiguous and when object motion was hierarchically nested within other moving reference frames. Our work can guide future neuroscience experiments to reveal the neural mechanisms underlying higher-level visual motion perception.Sichao YangJohannes BillJan DrugowitschSamuel J. GershmanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sichao Yang Johannes Bill Jan Drugowitsch Samuel J. Gershman Human visual motion perception shows hallmarks of Bayesian structural inference
description	Abstract Motion relations in visual scenes carry an abundance of behaviorally relevant information, but little is known about how humans identify the structure underlying a scene’s motion in the first place. We studied the computations governing human motion structure identification in two psychophysics experiments and found that perception of motion relations showed hallmarks of Bayesian structural inference. At the heart of our research lies a tractable task design that enabled us to reveal the signatures of probabilistic reasoning about latent structure. We found that a choice model based on the task’s Bayesian ideal observer accurately matched many facets of human structural inference, including task performance, perceptual error patterns, single-trial responses, participant-specific differences, and subjective decision confidence—especially, when motion scenes were ambiguous and when object motion was hierarchically nested within other moving reference frames. Our work can guide future neuroscience experiments to reveal the neural mechanisms underlying higher-level visual motion perception.
format	article
author	Sichao Yang Johannes Bill Jan Drugowitsch Samuel J. Gershman
author_facet	Sichao Yang Johannes Bill Jan Drugowitsch Samuel J. Gershman
author_sort	Sichao Yang
title	Human visual motion perception shows hallmarks of Bayesian structural inference
title_short	Human visual motion perception shows hallmarks of Bayesian structural inference
title_full	Human visual motion perception shows hallmarks of Bayesian structural inference
title_fullStr	Human visual motion perception shows hallmarks of Bayesian structural inference
title_full_unstemmed	Human visual motion perception shows hallmarks of Bayesian structural inference
title_sort	human visual motion perception shows hallmarks of bayesian structural inference
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/495966a0f45d4dc5994f8c1bc7ed5229
work_keys_str_mv	AT sichaoyang humanvisualmotionperceptionshowshallmarksofbayesianstructuralinference AT johannesbill humanvisualmotionperceptionshowshallmarksofbayesianstructuralinference AT jandrugowitsch humanvisualmotionperceptionshowshallmarksofbayesianstructuralinference AT samueljgershman humanvisualmotionperceptionshowshallmarksofbayesianstructuralinference
_version_	1718391838511988736

Human visual motion perception shows hallmarks of Bayesian structural inference

Ejemplares similares