Recognising the dynamic form of fire

Abstract Encoding and recognising complex natural sequences provides a challenge for human vision. We found that observers could recognise a previously presented segment of a video of a hearth fire when embedded in a longer sequence. Recognition performance declined when the test video was spatially...

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Autores principales:	Fintan Nagle, Alan Johnston
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6b08640938984e2cbff74e7de33c708f
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spelling	oai:doaj.org-article:6b08640938984e2cbff74e7de33c708f2021-12-02T15:45:21ZRecognising the dynamic form of fire10.1038/s41598-021-89453-42045-2322https://doaj.org/article/6b08640938984e2cbff74e7de33c708f2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89453-4https://doaj.org/toc/2045-2322Abstract Encoding and recognising complex natural sequences provides a challenge for human vision. We found that observers could recognise a previously presented segment of a video of a hearth fire when embedded in a longer sequence. Recognition performance declined when the test video was spatially inverted, but not when it was hue reversed or temporally reversed. Sampled motion degraded forwards/reversed playback discrimination, indicating observers were sensitive to the asymmetric pattern of motion of flames. For brief targets, performance increased with target length. More generally, performance depended on the relative lengths of the target and embedding sequence. Increased errors with embedded sequence length were driven by positive responses to non-target sequences (false alarms) rather than omissions. Taken together these observations favour interpreting performance in terms of an incremental decision-making model based on a sequential statistical analysis in which evidence accrues for one of two alternatives. We also suggest that prediction could provide a means of providing and evaluating evidence in a sequential analysis model.Fintan NagleAlan JohnstonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Fintan Nagle Alan Johnston Recognising the dynamic form of fire
description	Abstract Encoding and recognising complex natural sequences provides a challenge for human vision. We found that observers could recognise a previously presented segment of a video of a hearth fire when embedded in a longer sequence. Recognition performance declined when the test video was spatially inverted, but not when it was hue reversed or temporally reversed. Sampled motion degraded forwards/reversed playback discrimination, indicating observers were sensitive to the asymmetric pattern of motion of flames. For brief targets, performance increased with target length. More generally, performance depended on the relative lengths of the target and embedding sequence. Increased errors with embedded sequence length were driven by positive responses to non-target sequences (false alarms) rather than omissions. Taken together these observations favour interpreting performance in terms of an incremental decision-making model based on a sequential statistical analysis in which evidence accrues for one of two alternatives. We also suggest that prediction could provide a means of providing and evaluating evidence in a sequential analysis model.
format	article
author	Fintan Nagle Alan Johnston
author_facet	Fintan Nagle Alan Johnston
author_sort	Fintan Nagle
title	Recognising the dynamic form of fire
title_short	Recognising the dynamic form of fire
title_full	Recognising the dynamic form of fire
title_fullStr	Recognising the dynamic form of fire
title_full_unstemmed	Recognising the dynamic form of fire
title_sort	recognising the dynamic form of fire
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6b08640938984e2cbff74e7de33c708f
work_keys_str_mv	AT fintannagle recognisingthedynamicformoffire AT alanjohnston recognisingthedynamicformoffire
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Recognising the dynamic form of fire

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