Literature DB >> 22474395

Grid cells in rat entorhinal cortex encode physical space with independent firing fields and phase precession at the single-trial level.

Eric T Reifenstein1, Richard Kempter, Susanne Schreiber, Martin B Stemmler, Andreas V M Herz.   

Abstract

When a rat moves, grid cells in its entorhinal cortex become active in multiple regions of the external world that form a hexagonal lattice. As the animal traverses one such "firing field," spikes tend to occur at successively earlier theta phases of the local field potential. This phenomenon is called phase precession. Here, we show that spike phases provide 80% more spatial information than spike counts and that they improve position estimates from single neurons down to a few centimeters. To understand what limits the resolution and how variable spike phases are across different field traversals, we analyze spike trains run by run. We find that the multiple firing fields of a grid cell operate as independent elements for encoding physical space. In addition, phase precession is significantly stronger than the pooled-run data suggest. Despite the inherent stochasticity of grid-cell firing, phase precession is therefore a robust phenomenon at the single-trial level, making a theta-phase code for spatial navigation feasible.

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Year:  2012        PMID: 22474395      PMCID: PMC3341055          DOI: 10.1073/pnas.1109599109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

1.  Position reconstruction from an ensemble of hippocampal place cells: contribution of theta phase coding.

Authors:  O Jensen; J E Lisman
Journal:  J Neurophysiol       Date:  2000-05       Impact factor: 2.714

2.  Spike train dynamics predicts theta-related phase precession in hippocampal pyramidal cells.

Authors:  Kenneth D Harris; Darrell A Henze; Hajime Hirase; Xavier Leinekugel; George Dragoi; Andras Czurkó; György Buzsáki
Journal:  Nature       Date:  2002-06-13       Impact factor: 49.962

3.  Role of experience and oscillations in transforming a rate code into a temporal code.

Authors:  M R Mehta; A K Lee; M A Wilson
Journal:  Nature       Date:  2002-06-13       Impact factor: 49.962

4.  Dynamics of rat entorhinal cortex layer II and III cells: characteristics of membrane potential resonance at rest predict oscillation properties near threshold.

Authors:  I Erchova; G Kreck; U Heinemann; A V M Herz
Journal:  J Physiol       Date:  2004-07-22       Impact factor: 5.182

5.  Spatial representation in the entorhinal cortex.

Authors:  Marianne Fyhn; Sturla Molden; Menno P Witter; Edvard I Moser; May-Britt Moser
Journal:  Science       Date:  2004-08-27       Impact factor: 47.728

6.  Quantifying circular-linear associations: hippocampal phase precession.

Authors:  Richard Kempter; Christian Leibold; György Buzsáki; Kamran Diba; Robert Schmidt
Journal:  J Neurosci Methods       Date:  2012-04-07       Impact factor: 2.390

7.  Theta modulation in the medial and the lateral entorhinal cortices.

Authors:  Sachin S Deshmukh; D Yoganarasimha; Horatiu Voicu; James J Knierim
Journal:  J Neurophysiol       Date:  2010-05-26       Impact factor: 2.714

8.  Intrinsic circuit organization and theta-gamma oscillation dynamics in the entorhinal cortex of the rat.

Authors:  Pascale Quilichini; Anton Sirota; György Buzsáki
Journal:  J Neurosci       Date:  2010-08-18       Impact factor: 6.167

9.  Reduction of theta rhythm dissociates grid cell spatial periodicity from directional tuning.

Authors:  Mark P Brandon; Andrew R Bogaard; Christopher P Libby; Michael A Connerney; Kishan Gupta; Michael E Hasselmo
Journal:  Science       Date:  2011-04-29       Impact factor: 47.728

10.  Independent rate and temporal coding in hippocampal pyramidal cells.

Authors:  John Huxter; Neil Burgess; John O'Keefe
Journal:  Nature       Date:  2003-10-23       Impact factor: 49.962

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  27 in total

1.  Cellular mechanisms of spatial navigation in the medial entorhinal cortex.

Authors:  Christoph Schmidt-Hieber; Michael Häusser
Journal:  Nat Neurosci       Date:  2013-02-10       Impact factor: 24.884

2.  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

3.  Spatial encoding in primate hippocampus during free navigation.

Authors:  Hristos S Courellis; Samuel U Nummela; Michael Metke; Geoffrey W Diehl; Robert Bussell; Gert Cauwenberghs; Cory T Miller
Journal:  PLoS Biol       Date:  2019-12-09       Impact factor: 8.029

4.  Synaptic learning rules for sequence learning.

Authors:  Eric Torsten Reifenstein; Ikhwan Bin Khalid; Richard Kempter
Journal:  Elife       Date:  2021-04-16       Impact factor: 8.140

5.  Phase coding by grid cells in unconstrained environments: two-dimensional phase precession.

Authors:  Jason R Climer; Ehren L Newman; Michael E Hasselmo
Journal:  Eur J Neurosci       Date:  2013-05-29       Impact factor: 3.386

6.  Spike Afterpotentials Shape the In Vivo Burst Activity of Principal Cells in Medial Entorhinal Cortex.

Authors:  Dóra É Csordás; Caroline Fischer; Johannes Nagele; Martin Stemmler; Andreas V M Herz
Journal:  J Neurosci       Date:  2020-04-24       Impact factor: 6.167

7.  Spatial scale and place field stability in a grid-to-place cell model of the dorsoventral axis of the hippocampus.

Authors:  David Lyttle; Brian Gereke; Kevin K Lin; Jean-Marc Fellous
Journal:  Hippocampus       Date:  2013-06-04       Impact factor: 3.899

8.  Cell-Type Specific Phase Precession in Layer II of the Medial Entorhinal Cortex.

Authors:  Eric T Reifenstein; Christian L Ebbesen; Qiusong Tang; Michael Brecht; Susanne Schreiber; Richard Kempter
Journal:  J Neurosci       Date:  2016-02-17       Impact factor: 6.167

9.  Controlling phase noise in oscillatory interference models of grid cell firing.

Authors:  Christopher P Burgess; Neil Burgess
Journal:  J Neurosci       Date:  2014-04-30       Impact factor: 6.167

10.  A hybrid oscillatory interference/continuous attractor network model of grid cell firing.

Authors:  Daniel Bush; Neil Burgess
Journal:  J Neurosci       Date:  2014-04-02       Impact factor: 6.167

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