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Parameters of prediction: Multidimensional characterization of top-down influence in visual perception

Despite the recent popularity of predictive processing models of brain function, the term prediction is often instantiated very differently across studies. These differences in definition can substantially change the type of cognitive or neural operation hypothesised and thus have critical implicati...

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Detalles Bibliográficos
Autores principales: Ortiz-Tudela, Javier, Nicholls, Victoria I., Clarke, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615211/
https://www.ncbi.nlm.nih.gov/pubmed/37619646
http://dx.doi.org/10.1016/j.neubiorev.2023.105369
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author Ortiz-Tudela, Javier
Nicholls, Victoria I.
Clarke, Alex
author_facet Ortiz-Tudela, Javier
Nicholls, Victoria I.
Clarke, Alex
author_sort Ortiz-Tudela, Javier
collection PubMed
description Despite the recent popularity of predictive processing models of brain function, the term prediction is often instantiated very differently across studies. These differences in definition can substantially change the type of cognitive or neural operation hypothesised and thus have critical implications for the corresponding behavioural and neural correlates during visual perception. Here, we propose a five-dimensional scheme to characterise different parameters of prediction. Namely, flow of information, mnemonic origin, specificity, complexity, and temporal precision. We describe these dimensions and provide examples of their application to previous work. Such a characterisation not only facilitates the integration of findings across studies, but also helps stimulate new research questions.
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spelling pubmed-76152112023-10-16 Parameters of prediction: Multidimensional characterization of top-down influence in visual perception Ortiz-Tudela, Javier Nicholls, Victoria I. Clarke, Alex Neurosci Biobehav Rev Article Despite the recent popularity of predictive processing models of brain function, the term prediction is often instantiated very differently across studies. These differences in definition can substantially change the type of cognitive or neural operation hypothesised and thus have critical implications for the corresponding behavioural and neural correlates during visual perception. Here, we propose a five-dimensional scheme to characterise different parameters of prediction. Namely, flow of information, mnemonic origin, specificity, complexity, and temporal precision. We describe these dimensions and provide examples of their application to previous work. Such a characterisation not only facilitates the integration of findings across studies, but also helps stimulate new research questions. 2023-08-22 2023-08-22 /pmc/articles/PMC7615211/ /pubmed/37619646 http://dx.doi.org/10.1016/j.neubiorev.2023.105369 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Ortiz-Tudela, Javier
Nicholls, Victoria I.
Clarke, Alex
Parameters of prediction: Multidimensional characterization of top-down influence in visual perception
title Parameters of prediction: Multidimensional characterization of top-down influence in visual perception
title_full Parameters of prediction: Multidimensional characterization of top-down influence in visual perception
title_fullStr Parameters of prediction: Multidimensional characterization of top-down influence in visual perception
title_full_unstemmed Parameters of prediction: Multidimensional characterization of top-down influence in visual perception
title_short Parameters of prediction: Multidimensional characterization of top-down influence in visual perception
title_sort parameters of prediction: multidimensional characterization of top-down influence in visual perception
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615211/
https://www.ncbi.nlm.nih.gov/pubmed/37619646
http://dx.doi.org/10.1016/j.neubiorev.2023.105369
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