Literature DB >> 18528856

Entorhinal theta phase precession sculpts dentate gyrus place fields.

Colin Molter1, Yoko Yamaguchi.   

Abstract

It is known that the hippocampus facilitates memory formation and spatial representation and that hippocampal place cells establish spatial representations with firing activity modulated in terms of 'theta phase precession'. Clarifying how these spatial and temporal activities interact to process information is essential for a more coherent understanding of the way the hippocampus works. Recently, it has been reported that layer II entorhinal cortical cells, which mediate the majority of the cortical inputs to the dentate gyrus (DG), located at the gate of the hippocampus, fire with theta phase precession according to a grid-like pattern. Here we hypothesize that the temporal code of entorhinal grid neurons firing with theta phase precession provides selectivity in input integration of dentate neurons to support the emergence of place fields. Our large-scale network model analyses demonstrated that, by assuming coincidence detection properties of dentate neurons, grid fields are reliably transformed to place fields in a novel environment. Furthermore, global remapping of place fields in sequential experiences of environments can be obtained in agreement with known experimental observation. These findings indicate a critical role of temporal coding for space computation in the entorhinal-hippocampal system. (c) 2008 Wiley-Liss, Inc.

Mesh:

Year:  2008        PMID: 18528856     DOI: 10.1002/hipo.20450

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


  18 in total

1.  Hebbian analysis of the transformation of medial entorhinal grid-cell inputs to hippocampal place fields.

Authors:  Francesco Savelli; James J Knierim
Journal:  J Neurophysiol       Date:  2010-03-31       Impact factor: 2.714

Review 2.  Architecture of spatial circuits in the hippocampal region.

Authors:  Menno P Witter; Cathrin B Canto; Jonathan J Couey; Noriko Koganezawa; Kally C O'Reilly
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-23       Impact factor: 6.237

3.  Modeling inheritance of phase precession in the hippocampal formation.

Authors:  Jorge Jaramillo; Robert Schmidt; Richard Kempter
Journal:  J Neurosci       Date:  2014-05-28       Impact factor: 6.167

4.  Locating and navigation mechanism based on place-cell and grid-cell models.

Authors:  Chuankui Yan; Rubin Wang; Jingyi Qu; Guanrong Chen
Journal:  Cogn Neurodyn       Date:  2016-03-26       Impact factor: 5.082

5.  Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity.

Authors:  Simon Nikolaus Weber; Henning Sprekeler
Journal:  Elife       Date:  2018-02-21       Impact factor: 8.140

6.  Dual coding with STDP in a spiking recurrent neural network model of the hippocampus.

Authors:  Daniel Bush; Andrew Philippides; Phil Husbands; Michael O'Shea
Journal:  PLoS Comput Biol       Date:  2010-07-01       Impact factor: 4.475

7.  Sources of the spatial code within the hippocampus.

Authors:  Mark P Brandon; Michael E Hasselmo
Journal:  F1000 Biol Rep       Date:  2009-01-21

8.  Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention and oscillations.

Authors:  Stephen Grossberg; Praveen K Pilly
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-23       Impact factor: 6.237

9.  Grid cells require excitatory drive from the hippocampus.

Authors:  Tora Bonnevie; Benjamin Dunn; Marianne Fyhn; Torkel Hafting; Dori Derdikman; John L Kubie; Yasser Roudi; Edvard I Moser; May-Britt Moser
Journal:  Nat Neurosci       Date:  2013-01-20       Impact factor: 24.884

10.  A computational predictor of human episodic memory based on a theta phase precession network.

Authors:  Naoyuki Sato; Yoko Yamaguchi
Journal:  PLoS One       Date:  2009-10-23       Impact factor: 3.240

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