Abstract representations of events arise from mental errors in learning and memory

Humans can easily uncover abstract associations. Here, the authors propose that higher-order associations arise from natural errors in learning and memory. They suggest that mental errors influence the humans’ representation of the world in significant and predictable ways.

Guardado en:

Detalles Bibliográficos
Autores principales:	Christopher W. Lynn, Ari E. Kahn, Nathaniel Nyema, Danielle S. Bassett
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f5ed9dde0c674c7dab869f1e8181c4dd
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f5ed9dde0c674c7dab869f1e8181c4dd
record_format	dspace
spelling	oai:doaj.org-article:f5ed9dde0c674c7dab869f1e8181c4dd2021-12-02T14:42:13ZAbstract representations of events arise from mental errors in learning and memory10.1038/s41467-020-15146-72041-1723https://doaj.org/article/f5ed9dde0c674c7dab869f1e8181c4dd2020-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15146-7https://doaj.org/toc/2041-1723Humans can easily uncover abstract associations. Here, the authors propose that higher-order associations arise from natural errors in learning and memory. They suggest that mental errors influence the humans’ representation of the world in significant and predictable ways.Christopher W. LynnAri E. KahnNathaniel NyemaDanielle S. BassettNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Christopher W. Lynn Ari E. Kahn Nathaniel Nyema Danielle S. Bassett Abstract representations of events arise from mental errors in learning and memory
description	Humans can easily uncover abstract associations. Here, the authors propose that higher-order associations arise from natural errors in learning and memory. They suggest that mental errors influence the humans’ representation of the world in significant and predictable ways.
format	article
author	Christopher W. Lynn Ari E. Kahn Nathaniel Nyema Danielle S. Bassett
author_facet	Christopher W. Lynn Ari E. Kahn Nathaniel Nyema Danielle S. Bassett
author_sort	Christopher W. Lynn
title	Abstract representations of events arise from mental errors in learning and memory
title_short	Abstract representations of events arise from mental errors in learning and memory
title_full	Abstract representations of events arise from mental errors in learning and memory
title_fullStr	Abstract representations of events arise from mental errors in learning and memory
title_full_unstemmed	Abstract representations of events arise from mental errors in learning and memory
title_sort	abstract representations of events arise from mental errors in learning and memory
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/f5ed9dde0c674c7dab869f1e8181c4dd
work_keys_str_mv	AT christopherwlynn abstractrepresentationsofeventsarisefrommentalerrorsinlearningandmemory AT ariekahn abstractrepresentationsofeventsarisefrommentalerrorsinlearningandmemory AT nathanielnyema abstractrepresentationsofeventsarisefrommentalerrorsinlearningandmemory AT daniellesbassett abstractrepresentationsofeventsarisefrommentalerrorsinlearningandmemory
_version_	1718389787599044608

Abstract representations of events arise from mental errors in learning and memory

Ejemplares similares