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Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor
Grid cells in the medial entorhinal cortex (MEC) encode position using a distributed representation across multiple neural populations (modules), each possessing a distinct spatial scale. The modular structure of the representation confers the grid cell neural code with large capacity. Yet, the modu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756787/ https://www.ncbi.nlm.nih.gov/pubmed/31469365 http://dx.doi.org/10.7554/eLife.48494 |
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author | Mosheiff, Noga Burak, Yoram |
author_facet | Mosheiff, Noga Burak, Yoram |
author_sort | Mosheiff, Noga |
collection | PubMed |
description | Grid cells in the medial entorhinal cortex (MEC) encode position using a distributed representation across multiple neural populations (modules), each possessing a distinct spatial scale. The modular structure of the representation confers the grid cell neural code with large capacity. Yet, the modularity poses significant challenges for the neural circuitry that maintains the representation, and updates it based on self motion. Small incompatible drifts in different modules, driven by noise, can rapidly lead to large, abrupt shifts in the represented position, resulting in catastrophic readout errors. Here, we propose a theoretical model of coupled modules. The coupling suppresses incompatible drifts, allowing for a stable embedding of a two-dimensional variable (position) in a higher dimensional neural attractor, while preserving the large capacity. We propose that coupling of this type may be implemented by recurrent synaptic connectivity within the MEC with a relatively simple and biologically plausible structure. |
format | Online Article Text |
id | pubmed-6756787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-67567872019-09-25 Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor Mosheiff, Noga Burak, Yoram eLife Neuroscience Grid cells in the medial entorhinal cortex (MEC) encode position using a distributed representation across multiple neural populations (modules), each possessing a distinct spatial scale. The modular structure of the representation confers the grid cell neural code with large capacity. Yet, the modularity poses significant challenges for the neural circuitry that maintains the representation, and updates it based on self motion. Small incompatible drifts in different modules, driven by noise, can rapidly lead to large, abrupt shifts in the represented position, resulting in catastrophic readout errors. Here, we propose a theoretical model of coupled modules. The coupling suppresses incompatible drifts, allowing for a stable embedding of a two-dimensional variable (position) in a higher dimensional neural attractor, while preserving the large capacity. We propose that coupling of this type may be implemented by recurrent synaptic connectivity within the MEC with a relatively simple and biologically plausible structure. eLife Sciences Publications, Ltd 2019-08-30 /pmc/articles/PMC6756787/ /pubmed/31469365 http://dx.doi.org/10.7554/eLife.48494 Text en © 2019, Mosheiff and Burak http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Mosheiff, Noga Burak, Yoram Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor |
title | Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor |
title_full | Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor |
title_fullStr | Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor |
title_full_unstemmed | Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor |
title_short | Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor |
title_sort | velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756787/ https://www.ncbi.nlm.nih.gov/pubmed/31469365 http://dx.doi.org/10.7554/eLife.48494 |
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