Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mosheiff, Noga, Burak, Yoram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
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
_version_ 1783453463486660608
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
work_keys_str_mv AT mosheiffnoga velocitycouplingofgridcellmodulesenablesstableembeddingofalowdimensionalvariableinahighdimensionalneuralattractor
AT burakyoram velocitycouplingofgridcellmodulesenablesstableembeddingofalowdimensionalvariableinahighdimensionalneuralattractor