Efficient and flexible representation of higher-dimensional cognitive variables with grid cells.
Journal
PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922
Informations de publication
Date de publication:
04 2020
04 2020
Historique:
received:
22
10
2019
accepted:
18
03
2020
revised:
08
05
2020
pubmed:
29
4
2020
medline:
18
7
2020
entrez:
29
4
2020
Statut:
epublish
Résumé
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-dimensional random projections and "classical" low-dimensional hexagonal grid cell responses. Without reconfiguration of the recurrent circuit, the same system can flexibly encode multiple variables of different dimensions while maximizing the coding range (per dimension) by automatically trading-off dimension with an exponentially large coding range. It achieves high efficiency and flexibility by combining two powerful concepts, modularity and mixed selectivity, in what we call "mixed modular coding". In contrast to previously proposed schemes, the model does not require the formation of higher-dimensional grid responses, a cell-inefficient and rigid mechanism. The firing fields observed in flying bats or climbing rats can be generated by neurons that combine activity from multiple grid modules, each representing higher-dimensional spaces according to our model. The idea expands our understanding of grid cells, suggesting that they could implement a general circuit that generates on-demand coding and memory states for variables in high-dimensional vector spaces.
Identifiants
pubmed: 32343687
doi: 10.1371/journal.pcbi.1007796
pii: PCOMPBIOL-D-19-01848
pmc: PMC7209352
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1007796Subventions
Organisme : Howard Hughes Medical Institute
Pays : United States
Déclaration de conflit d'intérêts
I have read the journal’s policy and the authors of this manuscript have the following competing interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. ML and MK were employed by Numenta. Numenta has stated that use of its intellectual property, including all the ideas contained in this work, is free for noncommercial research purposes. In addition, Numenta has released all pertinent source code as open source under the AGPL V3 license (which includes a patent peace provision).
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