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...
Enregistré dans:
Auteurs principaux: | Robert M. Mok, Bradley C. Love |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2019
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/11c7ec1d9f6f4e959eba22b7614d0156 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A computational grid-to-place-cell transformation model indicates a synaptic driver of place cell impairment in early-stage Alzheimer's Disease.
par: Natalie Ness, et autres
Publié: (2021) -
Ventromedial prefrontal cortex compression during concept learning
par: Michael L. Mack, et autres
Publié: (2020) -
Differential influences of environment and self-motion on place and grid cell firing
par: Guifen Chen, et autres
Publié: (2019) -
Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning
par: Xiang Hu, et autres
Publié: (2021) -
Adversarial attacks on deep learning models in smart grids
par: Jingbo Hao, et autres
Publié: (2022)