Activity in perceptual classification networks as a basis for human subjective time perception

How the brain tracks the passage of time remains unclear. Here, the authors show that tracking activation changes in a neural network trained to recognize objects (similar to the human visual system) produces estimates of duration that are subject to human-like biases.

Guardado en:
Detalles Bibliográficos
Autores principales: Warrick Roseboom, Zafeirios Fountas, Kyriacos Nikiforou, David Bhowmik, Murray Shanahan, Anil K. Seth
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
Materias:
Q
Acceso en línea:https://doaj.org/article/e4bef4679014450692cb6487f0ea989e
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:e4bef4679014450692cb6487f0ea989e
record_format dspace
spelling oai:doaj.org-article:e4bef4679014450692cb6487f0ea989e2021-12-02T15:36:23ZActivity in perceptual classification networks as a basis for human subjective time perception10.1038/s41467-018-08194-72041-1723https://doaj.org/article/e4bef4679014450692cb6487f0ea989e2019-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-08194-7https://doaj.org/toc/2041-1723How the brain tracks the passage of time remains unclear. Here, the authors show that tracking activation changes in a neural network trained to recognize objects (similar to the human visual system) produces estimates of duration that are subject to human-like biases.Warrick RoseboomZafeirios FountasKyriacos NikiforouDavid BhowmikMurray ShanahanAnil K. SethNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Warrick Roseboom
Zafeirios Fountas
Kyriacos Nikiforou
David Bhowmik
Murray Shanahan
Anil K. Seth
Activity in perceptual classification networks as a basis for human subjective time perception
description How the brain tracks the passage of time remains unclear. Here, the authors show that tracking activation changes in a neural network trained to recognize objects (similar to the human visual system) produces estimates of duration that are subject to human-like biases.
format article
author Warrick Roseboom
Zafeirios Fountas
Kyriacos Nikiforou
David Bhowmik
Murray Shanahan
Anil K. Seth
author_facet Warrick Roseboom
Zafeirios Fountas
Kyriacos Nikiforou
David Bhowmik
Murray Shanahan
Anil K. Seth
author_sort Warrick Roseboom
title Activity in perceptual classification networks as a basis for human subjective time perception
title_short Activity in perceptual classification networks as a basis for human subjective time perception
title_full Activity in perceptual classification networks as a basis for human subjective time perception
title_fullStr Activity in perceptual classification networks as a basis for human subjective time perception
title_full_unstemmed Activity in perceptual classification networks as a basis for human subjective time perception
title_sort activity in perceptual classification networks as a basis for human subjective time perception
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/e4bef4679014450692cb6487f0ea989e
work_keys_str_mv AT warrickroseboom activityinperceptualclassificationnetworksasabasisforhumansubjectivetimeperception
AT zafeiriosfountas activityinperceptualclassificationnetworksasabasisforhumansubjectivetimeperception
AT kyriacosnikiforou activityinperceptualclassificationnetworksasabasisforhumansubjectivetimeperception
AT davidbhowmik activityinperceptualclassificationnetworksasabasisforhumansubjectivetimeperception
AT murrayshanahan activityinperceptualclassificationnetworksasabasisforhumansubjectivetimeperception
AT anilkseth activityinperceptualclassificationnetworksasabasisforhumansubjectivetimeperception
_version_ 1718386321337090048