Literature DB >> 23966345

A model for the differentiation between grid and conjunctive units in medial entorhinal cortex.

Bailu Si1, Alessandro Treves.   

Abstract

The multiple layers of medial entorhinal cortex (mEC) contain cells that differ in selectivity, connectivity, and cellular properties. Grid cells in layer II and in the deeper layers express triangular grid patterns in the environment. The firing rate of the conjunctive cells found in layer III and below, on the other hand, show grid-by-head direction tuning. In this study, we model the differentiation between grid and conjunctive cells in a network with self-organized connections. Arranged into distinct "layers", the model grid units and conjunctive units develop, with a similar time course, grid fields resulting from firing rate adaptation and competitive learning. Grid alignment in both layers is delayed with respect to the formation of triangular grids. A common grid orientation among conjunctive units is produced, in the model, by head-direction modulated collateral interactions, while the grids of grid units inherit the same orientation through connections from conjunctive units. Grid units as well as conjunctive units share a similar spacing but show a random distribution of spatial phases. Grid units however carry more spatial information than conjunctive units, thus providing better inputs for the hippocampus to form spatial memories.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  conjunctive grid-by-head direction cells; firing rate adaptation; grid cells; lamination; self-organization

Mesh:

Year:  2013        PMID: 23966345     DOI: 10.1002/hipo.22194

Source DB:  PubMed          Journal:  Hippocampus        ISSN: 1050-9631            Impact factor:   3.899


  13 in total

1.  Can rodents conceive hyperbolic spaces?

Authors:  Eugenio Urdapilleta; Francesca Troiani; Federico Stella; Alessandro Treves
Journal:  J R Soc Interface       Date:  2015-06-06       Impact factor: 4.118

2.  Modeling grid fields instead of modeling grid cells : An effective model at the macroscopic level and its relationship with the underlying microscopic neural system.

Authors:  Sophie Rosay; Simon Weber; Marcello Mulas
Journal:  J Comput Neurosci       Date:  2019-07-08       Impact factor: 1.621

Review 3.  Origin and role of path integration in the cognitive representations of the hippocampus: computational insights into open questions.

Authors:  Francesco Savelli; James J Knierim
Journal:  J Exp Biol       Date:  2019-02-06       Impact factor: 3.312

Review 4.  The grid code for ordered experience.

Authors:  Jon W Rueckemann; Marielena Sosa; Lisa M Giocomo; Elizabeth A Buffalo
Journal:  Nat Rev Neurosci       Date:  2021-08-27       Impact factor: 38.755

Review 5.  Challenges for Place and Grid Cell Models.

Authors:  Oleksandra Soldatkina; Francesca Schönsberg; Alessandro Treves
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

6.  Correlation structure of grid cells is preserved during sleep.

Authors:  Richard J Gardner; Li Lu; Tanja Wernle; May-Britt Moser; Edvard I Moser
Journal:  Nat Neurosci       Date:  2019-03-25       Impact factor: 24.884

7.  The self-organization of grid cells in 3D.

Authors:  Federico Stella; Alessandro Treves
Journal:  Elife       Date:  2015-03-30       Impact factor: 8.140

8.  Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis.

Authors:  Yedidyah Dordek; Daniel Soudry; Ron Meir; Dori Derdikman
Journal:  Elife       Date:  2016-03-08       Impact factor: 8.140

9.  Cognitive Mapping Based on Conjunctive Representations of Space and Movement.

Authors:  Taiping Zeng; Bailu Si
Journal:  Front Neurorobot       Date:  2017-11-22       Impact factor: 2.650

10.  Selforganization of modular activity of grid cells.

Authors:  Eugenio Urdapilleta; Bailu Si; Alessandro Treves
Journal:  Hippocampus       Date:  2017-08-14       Impact factor: 3.899

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.