A non-spatial account of place and grid cells based on clustering models of concept learning
Spatial maps in the medial temporal lobe (MTL) have been proposed to map abstract conceptual knowledge. Rather than grounding abstract knowledge in a spatial map, the authors propose a general-purpose clustering algorithm that explains how both spatial (including place and grid cells) and higher-dim...
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Nature Portfolio
2019
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oai:doaj.org-article:11c7ec1d9f6f4e959eba22b7614d01562021-12-02T15:35:18ZA non-spatial account of place and grid cells based on clustering models of concept learning10.1038/s41467-019-13760-82041-1723https://doaj.org/article/11c7ec1d9f6f4e959eba22b7614d01562019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13760-8https://doaj.org/toc/2041-1723Spatial maps in the medial temporal lobe (MTL) have been proposed to map abstract conceptual knowledge. Rather than grounding abstract knowledge in a spatial map, the authors propose a general-purpose clustering algorithm that explains how both spatial (including place and grid cells) and higher-dimensional conceptual representations arise during learning.Robert M. MokBradley C. LoveNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019) |
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Science Q Robert M. Mok Bradley C. Love A non-spatial account of place and grid cells based on clustering models of concept learning |
description |
Spatial maps in the medial temporal lobe (MTL) have been proposed to map abstract conceptual knowledge. Rather than grounding abstract knowledge in a spatial map, the authors propose a general-purpose clustering algorithm that explains how both spatial (including place and grid cells) and higher-dimensional conceptual representations arise during learning. |
format |
article |
author |
Robert M. Mok Bradley C. Love |
author_facet |
Robert M. Mok Bradley C. Love |
author_sort |
Robert M. Mok |
title |
A non-spatial account of place and grid cells based on clustering models of concept learning |
title_short |
A non-spatial account of place and grid cells based on clustering models of concept learning |
title_full |
A non-spatial account of place and grid cells based on clustering models of concept learning |
title_fullStr |
A non-spatial account of place and grid cells based on clustering models of concept learning |
title_full_unstemmed |
A non-spatial account of place and grid cells based on clustering models of concept learning |
title_sort |
non-spatial account of place and grid cells based on clustering models of concept learning |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/11c7ec1d9f6f4e959eba22b7614d0156 |
work_keys_str_mv |
AT robertmmok anonspatialaccountofplaceandgridcellsbasedonclusteringmodelsofconceptlearning AT bradleyclove anonspatialaccountofplaceandgridcellsbasedonclusteringmodelsofconceptlearning AT robertmmok nonspatialaccountofplaceandgridcellsbasedonclusteringmodelsofconceptlearning AT bradleyclove nonspatialaccountofplaceandgridcellsbasedonclusteringmodelsofconceptlearning |
_version_ |
1718386579473432576 |