Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps

Higher-order sequence learning using a structured graph representation - clone-structured cognitive graphs (CSCG) – can explain how the hippocampus learns cognitive maps. CSCG provides novel explanations for transferable schemas and transitive inference in the hippocampus, and for how place cells, s...

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Autores principales:	Dileep George, Rajeev V. Rikhye, Nishad Gothoskar, J. Swaroop Guntupalli, Antoine Dedieu, Miguel Lázaro-Gredilla
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d14e717d3a464bdd87d0683bd9f474ec
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spelling	oai:doaj.org-article:d14e717d3a464bdd87d0683bd9f474ec2021-12-02T17:33:34ZClone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps10.1038/s41467-021-22559-52041-1723https://doaj.org/article/d14e717d3a464bdd87d0683bd9f474ec2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22559-5https://doaj.org/toc/2041-1723Higher-order sequence learning using a structured graph representation - clone-structured cognitive graphs (CSCG) – can explain how the hippocampus learns cognitive maps. CSCG provides novel explanations for transferable schemas and transitive inference in the hippocampus, and for how place cells, splitter cells, lap-cells and a variety of phenomena emerge from the same set of fundamental principles.Dileep GeorgeRajeev V. RikhyeNishad GothoskarJ. Swaroop GuntupalliAntoine DedieuMiguel Lázaro-GredillaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Dileep George Rajeev V. Rikhye Nishad Gothoskar J. Swaroop Guntupalli Antoine Dedieu Miguel Lázaro-Gredilla Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
description	Higher-order sequence learning using a structured graph representation - clone-structured cognitive graphs (CSCG) – can explain how the hippocampus learns cognitive maps. CSCG provides novel explanations for transferable schemas and transitive inference in the hippocampus, and for how place cells, splitter cells, lap-cells and a variety of phenomena emerge from the same set of fundamental principles.
format	article
author	Dileep George Rajeev V. Rikhye Nishad Gothoskar J. Swaroop Guntupalli Antoine Dedieu Miguel Lázaro-Gredilla
author_facet	Dileep George Rajeev V. Rikhye Nishad Gothoskar J. Swaroop Guntupalli Antoine Dedieu Miguel Lázaro-Gredilla
author_sort	Dileep George
title	Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
title_short	Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
title_full	Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
title_fullStr	Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
title_full_unstemmed	Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
title_sort	clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d14e717d3a464bdd87d0683bd9f474ec
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Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps

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