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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Auteurs principaux: Dileep George, Rajeev V. Rikhye, Nishad Gothoskar, J. Swaroop Guntupalli, Antoine Dedieu, Miguel Lázaro-Gredilla
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne: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
work_keys_str_mv AT dileepgeorge clonestructuredgraphrepresentationsenableflexiblelearningandvicariousevaluationofcognitivemaps
AT rajeevvrikhye clonestructuredgraphrepresentationsenableflexiblelearningandvicariousevaluationofcognitivemaps
AT nishadgothoskar clonestructuredgraphrepresentationsenableflexiblelearningandvicariousevaluationofcognitivemaps
AT jswaroopguntupalli clonestructuredgraphrepresentationsenableflexiblelearningandvicariousevaluationofcognitivemaps
AT antoinededieu clonestructuredgraphrepresentationsenableflexiblelearningandvicariousevaluationofcognitivemaps
AT miguellazarogredilla clonestructuredgraphrepresentationsenableflexiblelearningandvicariousevaluationofcognitivemaps
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