Cargando…

Correlations and Functional Connections in a Population of Grid Cells

We study the statistics of spike trains of simultaneously recorded grid cells in freely behaving rats. We evaluate pairwise correlations between these cells and, using a maximum entropy kinetic pairwise model (kinetic Ising model), study their functional connectivity. Even when we account for the co...

Descripción completa

Detalles Bibliográficos
Autores principales: Dunn, Benjamin, Mørreaunet, Maria, Roudi, Yasser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340907/
https://www.ncbi.nlm.nih.gov/pubmed/25714908
http://dx.doi.org/10.1371/journal.pcbi.1004052
_version_ 1782359076249796608
author Dunn, Benjamin
Mørreaunet, Maria
Roudi, Yasser
author_facet Dunn, Benjamin
Mørreaunet, Maria
Roudi, Yasser
author_sort Dunn, Benjamin
collection PubMed
description We study the statistics of spike trains of simultaneously recorded grid cells in freely behaving rats. We evaluate pairwise correlations between these cells and, using a maximum entropy kinetic pairwise model (kinetic Ising model), study their functional connectivity. Even when we account for the covariations in firing rates due to overlapping fields, both the pairwise correlations and functional connections decay as a function of the shortest distance between the vertices of the spatial firing pattern of pairs of grid cells, i.e. their phase difference. They take positive values between cells with nearby phases and approach zero or negative values for larger phase differences. We find similar results also when, in addition to correlations due to overlapping fields, we account for correlations due to theta oscillations and head directional inputs. The inferred connections between neurons in the same module and those from different modules can be both negative and positive, with a mean close to zero, but with the strongest inferred connections found between cells of the same module. Taken together, our results suggest that grid cells in the same module do indeed form a local network of interconnected neurons with a functional connectivity that supports a role for attractor dynamics in the generation of grid pattern.
format Online
Article
Text
id pubmed-4340907
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-43409072015-03-04 Correlations and Functional Connections in a Population of Grid Cells Dunn, Benjamin Mørreaunet, Maria Roudi, Yasser PLoS Comput Biol Research Article We study the statistics of spike trains of simultaneously recorded grid cells in freely behaving rats. We evaluate pairwise correlations between these cells and, using a maximum entropy kinetic pairwise model (kinetic Ising model), study their functional connectivity. Even when we account for the covariations in firing rates due to overlapping fields, both the pairwise correlations and functional connections decay as a function of the shortest distance between the vertices of the spatial firing pattern of pairs of grid cells, i.e. their phase difference. They take positive values between cells with nearby phases and approach zero or negative values for larger phase differences. We find similar results also when, in addition to correlations due to overlapping fields, we account for correlations due to theta oscillations and head directional inputs. The inferred connections between neurons in the same module and those from different modules can be both negative and positive, with a mean close to zero, but with the strongest inferred connections found between cells of the same module. Taken together, our results suggest that grid cells in the same module do indeed form a local network of interconnected neurons with a functional connectivity that supports a role for attractor dynamics in the generation of grid pattern. Public Library of Science 2015-02-25 /pmc/articles/PMC4340907/ /pubmed/25714908 http://dx.doi.org/10.1371/journal.pcbi.1004052 Text en © 2015 Dunn et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dunn, Benjamin
Mørreaunet, Maria
Roudi, Yasser
Correlations and Functional Connections in a Population of Grid Cells
title Correlations and Functional Connections in a Population of Grid Cells
title_full Correlations and Functional Connections in a Population of Grid Cells
title_fullStr Correlations and Functional Connections in a Population of Grid Cells
title_full_unstemmed Correlations and Functional Connections in a Population of Grid Cells
title_short Correlations and Functional Connections in a Population of Grid Cells
title_sort correlations and functional connections in a population of grid cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340907/
https://www.ncbi.nlm.nih.gov/pubmed/25714908
http://dx.doi.org/10.1371/journal.pcbi.1004052
work_keys_str_mv AT dunnbenjamin correlationsandfunctionalconnectionsinapopulationofgridcells
AT mørreaunetmaria correlationsandfunctionalconnectionsinapopulationofgridcells
AT roudiyasser correlationsandfunctionalconnectionsinapopulationofgridcells