Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment

Yunhui Zhou and Yuguo Yu propose a continuous-time eye movement model capable of predicting both eye fixation location and duration. Their model accounts for saccadic inaccuracy/bias and memory constraints and, applied to real data, shows that humans may use an eye movement strategy that balances ta...

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Autores principales:	Yunhui Zhou, Yuguo Yu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/f333554c03f0430bab016f0f174698c6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:f333554c03f0430bab016f0f174698c62021-12-02T15:07:32ZHuman visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment10.1038/s42003-020-01485-02399-3642https://doaj.org/article/f333554c03f0430bab016f0f174698c62021-01-01T00:00:00Zhttps://doi.org/10.1038/s42003-020-01485-0https://doaj.org/toc/2399-3642Yunhui Zhou and Yuguo Yu propose a continuous-time eye movement model capable of predicting both eye fixation location and duration. Their model accounts for saccadic inaccuracy/bias and memory constraints and, applied to real data, shows that humans may use an eye movement strategy that balances task performance and costs when searching for a target.Yunhui ZhouYuguo YuNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Yunhui Zhou Yuguo Yu Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment
description	Yunhui Zhou and Yuguo Yu propose a continuous-time eye movement model capable of predicting both eye fixation location and duration. Their model accounts for saccadic inaccuracy/bias and memory constraints and, applied to real data, shows that humans may use an eye movement strategy that balances task performance and costs when searching for a target.
format	article
author	Yunhui Zhou Yuguo Yu
author_facet	Yunhui Zhou Yuguo Yu
author_sort	Yunhui Zhou
title	Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment
title_short	Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment
title_full	Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment
title_fullStr	Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment
title_full_unstemmed	Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment
title_sort	human visual search follows a suboptimal bayesian strategy revealed by a spatiotemporal computational model and experiment
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f333554c03f0430bab016f0f174698c6
work_keys_str_mv	AT yunhuizhou humanvisualsearchfollowsasuboptimalbayesianstrategyrevealedbyaspatiotemporalcomputationalmodelandexperiment AT yuguoyu humanvisualsearchfollowsasuboptimalbayesianstrategyrevealedbyaspatiotemporalcomputationalmodelandexperiment
_version_	1718388489169403904

Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment

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