The context of temporal processing is represented in the multidimensional relationships between timing tasks.

In the present study we determined the performance interrelations of ten different tasks that involved the processing of temporal intervals in the subsecond range, using multidimensional analyses. Twenty human subjects executed the following explicit timing tasks: interval categorization and discrim...

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Autores principales:	Hugo Merchant, Wilbert Zarco, Ramon Bartolo, Luis Prado
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2008
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a55e512e0c6d4ddd84ed5d9b6f6d4797
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spelling	oai:doaj.org-article:a55e512e0c6d4ddd84ed5d9b6f6d47972021-11-25T06:18:41ZThe context of temporal processing is represented in the multidimensional relationships between timing tasks.1932-620310.1371/journal.pone.0003169https://doaj.org/article/a55e512e0c6d4ddd84ed5d9b6f6d47972008-09-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18779860/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203In the present study we determined the performance interrelations of ten different tasks that involved the processing of temporal intervals in the subsecond range, using multidimensional analyses. Twenty human subjects executed the following explicit timing tasks: interval categorization and discrimination (perceptual tasks), and single and multiple interval tapping (production tasks). In addition, the subjects performed a continuous circle-drawing task that has been considered an implicit timing paradigm, since time is an emergent property of the produced spatial trajectory. All tasks could be also classified as single or multiple interval paradigms. Auditory or visual markers were used to define the intervals. Performance variability, a measure that reflects the temporal and non-temporal processes for each task, was used to construct a dissimilarity matrix that quantifies the distances between pairs of tasks. Hierarchical clustering and multidimensional scaling were carried out on the dissimilarity matrix, and the results showed a prominent segregation of explicit and implicit timing tasks, and a clear grouping between single and multiple interval paradigms. In contrast, other variables such as the marker modality were not as crucial to explain the performance between tasks. Thus, using this methodology we revealed a probable functional arrangement of neural systems engaged during different timing behaviors.Hugo MerchantWilbert ZarcoRamon BartoloLuis PradoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 3, Iss 9, p e3169 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hugo Merchant Wilbert Zarco Ramon Bartolo Luis Prado The context of temporal processing is represented in the multidimensional relationships between timing tasks.
description	In the present study we determined the performance interrelations of ten different tasks that involved the processing of temporal intervals in the subsecond range, using multidimensional analyses. Twenty human subjects executed the following explicit timing tasks: interval categorization and discrimination (perceptual tasks), and single and multiple interval tapping (production tasks). In addition, the subjects performed a continuous circle-drawing task that has been considered an implicit timing paradigm, since time is an emergent property of the produced spatial trajectory. All tasks could be also classified as single or multiple interval paradigms. Auditory or visual markers were used to define the intervals. Performance variability, a measure that reflects the temporal and non-temporal processes for each task, was used to construct a dissimilarity matrix that quantifies the distances between pairs of tasks. Hierarchical clustering and multidimensional scaling were carried out on the dissimilarity matrix, and the results showed a prominent segregation of explicit and implicit timing tasks, and a clear grouping between single and multiple interval paradigms. In contrast, other variables such as the marker modality were not as crucial to explain the performance between tasks. Thus, using this methodology we revealed a probable functional arrangement of neural systems engaged during different timing behaviors.
format	article
author	Hugo Merchant Wilbert Zarco Ramon Bartolo Luis Prado
author_facet	Hugo Merchant Wilbert Zarco Ramon Bartolo Luis Prado
author_sort	Hugo Merchant
title	The context of temporal processing is represented in the multidimensional relationships between timing tasks.
title_short	The context of temporal processing is represented in the multidimensional relationships between timing tasks.
title_full	The context of temporal processing is represented in the multidimensional relationships between timing tasks.
title_fullStr	The context of temporal processing is represented in the multidimensional relationships between timing tasks.
title_full_unstemmed	The context of temporal processing is represented in the multidimensional relationships between timing tasks.
title_sort	context of temporal processing is represented in the multidimensional relationships between timing tasks.
publisher	Public Library of Science (PLoS)
publishDate	2008
url	https://doaj.org/article/a55e512e0c6d4ddd84ed5d9b6f6d4797
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The context of temporal processing is represented in the multidimensional relationships between timing tasks.

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