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      Intrinsic electrophysiological properties of entorhinal cortex stellate cells and their contribution to grid cell firing fields

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          Abstract

          The medial entorhinal cortex (MEC) is an increasingly important focus for investigation of mechanisms for spatial representation. Grid cells found in layer II of the MEC are likely to be stellate cells, which form a major projection to the dentate gyrus. Entorhinal stellate cells are distinguished by distinct intrinsic electrophysiological properties, but how these properties contribute to representation of space is not yet clear. Here, we review the ionic conductances, synaptic, and excitable properties of stellate cells, and examine their implications for models of grid firing fields. We discuss why existing data are inconsistent with models of grid fields that require stellate cells to generate periodic oscillations. An alternative possibility is that the intrinsic electrophysiological properties of stellate cells are tuned specifically to control integration of synaptic input. We highlight recent evidence that the dorsal-ventral organization of synaptic integration by stellate cells, through differences in currents mediated by HCN and leak potassium channels, influences the corresponding organization of grid fields. Because accurate cellular data will be important for distinguishing mechanisms for generation of grid fields, we introduce new data comparing properties measured with whole-cell and perforated patch-clamp recordings. We find that clustered patterns of action potential firing and the action potential after-hyperpolarization (AHP) are particularly sensitive to recording condition. Nevertheless, with both methods, these properties, resting membrane properties and resonance follow a dorsal-ventral organization. Further investigation of the molecular basis for synaptic integration by stellate cells will be important for understanding mechanisms for generation of grid fields.

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          Most cited references126

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          Microstructure of a spatial map in the entorhinal cortex.

          The ability to find one's way depends on neural algorithms that integrate information about place, distance and direction, but the implementation of these operations in cortical microcircuits is poorly understood. Here we show that the dorsocaudal medial entorhinal cortex (dMEC) contains a directionally oriented, topographically organized neural map of the spatial environment. Its key unit is the 'grid cell', which is activated whenever the animal's position coincides with any vertex of a regular grid of equilateral triangles spanning the surface of the environment. Grids of neighbouring cells share a common orientation and spacing, but their vertex locations (their phases) differ. The spacing and size of individual fields increase from dorsal to ventral dMEC. The map is anchored to external landmarks, but persists in their absence, suggesting that grid cells may be part of a generalized, path-integration-based map of the spatial environment.
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            Path integration and the neural basis of the 'cognitive map'.

            The hippocampal formation can encode relative spatial location, without reference to external cues, by the integration of linear and angular self-motion (path integration). Theoretical studies, in conjunction with recent empirical discoveries, suggest that the medial entorhinal cortex (MEC) might perform some of the essential underlying computations by means of a unique, periodic synaptic matrix that could be self-organized in early development through a simple, symmetry-breaking operation. The scale at which space is represented increases systematically along the dorsoventral axis in both the hippocampus and the MEC, apparently because of systematic variation in the gain of a movement-speed signal. Convergence of spatially periodic input at multiple scales, from so-called grid cells in the entorhinal cortex, might result in non-periodic spatial firing patterns (place fields) in the hippocampus.
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              Conjunctive representation of position, direction, and velocity in entorhinal cortex.

              Grid cells in the medial entorhinal cortex (MEC) are part of an environment-independent spatial coordinate system. To determine how information about location, direction, and distance is integrated in the grid-cell network, we recorded from each principal cell layer of MEC in rats that explored two-dimensional environments. Whereas layer II was predominated by grid cells, grid cells colocalized with head-direction cells and conjunctive grid x head-direction cells in the deeper layers. All cell types were modulated by running speed. The conjunction of positional, directional, and translational information in a single MEC cell type may enable grid coordinates to be updated during self-motion-based navigation.
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                Author and article information

                Journal
                Front Neural Circuits
                Front Neural Circuits
                Front. Neural Circuits
                Frontiers in Neural Circuits
                Frontiers Media S.A.
                1662-5110
                24 April 2012
                2012
                : 6
                : 17
                Affiliations
                [1] 1simpleNeuroinformatics Doctoral Training Centre, University of Edinburgh Edinburgh, UK
                [2] 2simpleCentre for Integrative Physiology, University of Edinburgh Edinburgh, UK
                Author notes

                Edited by: Lisa M. Giocomo, Norwegian University of Science and Technology, Norway

                Reviewed by: John A. White, University of Utah, USA; Christoph Schmidt-Hieber, University College London, UK

                *Correspondence: Matthew F. Nolan, Centre for Integrative Physiology, University of Edinburgh, Edinburgh, Scotland, EH8 9XD, UK. e-mail: mattnolan@ 123456ed.ac.uk
                Article
                10.3389/fncir.2012.00017
                3334835
                22536175
                6d883734-0651-4465-a4ff-4429e485748c
                Copyright © 2012 Pastoll, Ramsden and Nolan.

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.

                History
                : 10 December 2011
                : 25 March 2012
                Page count
                Figures: 9, Tables: 3, Equations: 0, References: 135, Pages: 21, Words: 17212
                Categories
                Neuroscience
                Original Research Article

                Neurosciences
                hcn,resonance,oscillation,synaptic integration,grid cell,theta,ion channel
                Neurosciences
                hcn, resonance, oscillation, synaptic integration, grid cell, theta, ion channel

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