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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-22559-5 |
| _version_ | 1818722758403555328 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-17T20:59:43Z |
| format | Article |
| id | doaj.art-d14e717d3a464bdd87d0683bd9f474ec |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-17T20:59:43Z |
| publishDate | 2021-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-d14e717d3a464bdd87d0683bd9f474ec2022-12-21T21:32:45ZengNature PortfolioNature Communications2041-17232021-04-0112111710.1038/s41467-021-22559-5Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive mapsDileep George0Rajeev V. Rikhye1Nishad Gothoskar2J. Swaroop Guntupalli3Antoine Dedieu4Miguel Lázaro-Gredilla5Vicarious AIVicarious AIVicarious AIVicarious AIVicarious AIVicarious AIHigher-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.https://doi.org/10.1038/s41467-021-22559-5 |
| spellingShingle | 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 Nature Communications |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41467-021-22559-5 |
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