Literature DB >> 19021259

Conversion of a phase- to a rate-coded position signal by a three-stage model of theta cells, grid cells, and place cells.

Hugh T Blair1, Kishan Gupta, Kechen Zhang.   

Abstract

As a rat navigates through a familiar environment, its position in space is encoded by firing rates of place cells and grid cells. Oscillatory interference models propose that this positional firing rate code is derived from a phase code, which stores the rat's position as a pattern of phase angles between velocity-modulated theta oscillations. Here we describe a three-stage network model, which formalizes the computational steps that are necessary for converting phase-coded position signals (represented by theta oscillations) into rate-coded position signals (represented by grid cells and place cells). The first stage of the model proposes that the phase-coded position signal is stored and updated by a bank of ring attractors, like those that have previously been hypothesized to perform angular path integration in the head-direction cell system. We show analytically how ring attractors can serve as central pattern generators for producing velocity-modulated theta oscillations, and we propose that such ring attractors may reside in subcortical areas where hippocampal theta rhythm is known to originate. In the second stage of the model, grid fields are formed by oscillatory interference between theta cells residing in different (but not the same) ring attractors. The model's third stage assumes that hippocampal neurons generate Gaussian place fields by computing weighted sums of inputs from a basis set of many grid fields. Here we show that under this assumption, the spatial frequency spectrum of the Gaussian place field defines the vertex spacings of grid cells that must provide input to the place cell. This analysis generates a testable prediction that grid cells with large vertex spacings should send projections to the entire hippocampus, whereas grid cells with smaller vertex spacings may project more selectively to the dorsal hippocampus, where place fields are smallest. Copyright 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 19021259      PMCID: PMC2814603          DOI: 10.1002/hipo.20509

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


  45 in total

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Review 2.  Theta oscillations in the hippocampus.

Authors:  György Buzsáki
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Review 3.  The anatomical and computational basis of the rat head-direction cell signal.

Authors:  P E Sharp; H T Blair; J Cho
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4.  Graded persistent activity in entorhinal cortex neurons.

Authors:  Alexei V Egorov; Bassam N Hamam; Erik Fransén; Michael E Hasselmo; Angel A Alonso
Journal:  Nature       Date:  2002-11-14       Impact factor: 49.962

5.  Double-ring network model of the head-direction system.

Authors:  Xiaohui Xie; Richard H R Hahnloser; H Sebastian Seung
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-10-09

6.  Synchronization of strongly coupled excitatory neurons: relating network behavior to biophysics.

Authors:  Corey D Acker; Nancy Kopell; John A White
Journal:  J Comput Neurosci       Date:  2003 Jul-Aug       Impact factor: 1.621

7.  Dynamically detuned oscillations account for the coupled rate and temporal code of place cell firing.

Authors:  Máté Lengyel; Zoltán Szatmáry; Péter Erdi
Journal:  Hippocampus       Date:  2003       Impact factor: 3.899

8.  Progressive increase in grid scale from dorsal to ventral medial entorhinal cortex.

Authors:  Vegard Heimly Brun; Trygve Solstad; Kirsten Brun Kjelstrup; Marianne Fyhn; Menno P Witter; Edvard I Moser; May-Britt Moser
Journal:  Hippocampus       Date:  2008       Impact factor: 3.899

9.  Hippocampal electrical activity and voluntary movement in the rat.

Authors:  C H Vanderwolf
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1969-04

10.  The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat.

Authors:  J O'Keefe; J Dostrovsky
Journal:  Brain Res       Date:  1971-11       Impact factor: 3.252

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  71 in total

1.  Cosine directional tuning of theta cell burst frequencies: evidence for spatial coding by oscillatory interference.

Authors:  Adam C Welday; I Gary Shlifer; Matthew L Bloom; Kechen Zhang; Hugh T Blair
Journal:  J Neurosci       Date:  2011-11-09       Impact factor: 6.167

2.  Universal conditions for exact path integration in neural systems.

Authors:  John B Issa; Kechen Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-09       Impact factor: 11.205

Review 3.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

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

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Journal:  J Neurophysiol       Date:  2010-05-26       Impact factor: 2.714

5.  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

6.  Grid cell mechanisms and function: contributions of entorhinal persistent spiking and phase resetting.

Authors:  Michael E Hasselmo
Journal:  Hippocampus       Date:  2008       Impact factor: 3.899

7.  Computation by oscillations: implications of experimental data for theoretical models of grid cells.

Authors:  Lisa M Giocomo; Michael E Hasselmo
Journal:  Hippocampus       Date:  2008       Impact factor: 3.899

Review 8.  Functional correlates of the lateral and medial entorhinal cortex: objects, path integration and local-global reference frames.

Authors:  James J Knierim; Joshua P Neunuebel; Sachin S Deshmukh
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-23       Impact factor: 6.237

9.  Rebound spiking in layer II medial entorhinal cortex stellate cells: Possible mechanism of grid cell function.

Authors:  Christopher F Shay; Michele Ferrante; G William Chapman; Michael E Hasselmo
Journal:  Neurobiol Learn Mem       Date:  2015-09-15       Impact factor: 2.877

10.  Knock-out of HCN1 subunit flattens dorsal-ventral frequency gradient of medial entorhinal neurons in adult mice.

Authors:  Lisa M Giocomo; Michael E Hasselmo
Journal:  J Neurosci       Date:  2009-06-10       Impact factor: 6.167

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