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Efficient and flexible representation of higher-dimensional cognitive variables with grid cells
We shed light on the potential of entorhinal grid cells to efficiently encode variables of dimension greater than two, while remaining faithful to empirical data on their low-dimensional structure. Our model constructs representations of high-dimensional inputs through a combination of low-dimension...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7209352/ https://ncbi.nlm.nih.gov/pubmed/32343687 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007796 |
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