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dc.contributor.authorWedgwood, KCA
dc.contributor.authorBonilla-Quintana, M
dc.contributor.authorO'Dea, RD
dc.contributor.authorCoombes, S
dc.date.accessioned2017-08-10T12:41:49Z
dc.date.issued2017-08-25
dc.description.abstractLayer II stellate cells in the medial enthorinal cortex (MEC) express hyperpolarisation-activated cyclic-nucleotide-gated (HCN) channels that allow for rebound spiking via an Ih current in response to hyperpolaris- ing synaptic input. A computational modelling study by Hasselmo [2013 Neuronal rebound spiking, resonance frequency and theta cycle skipping may contribute to grid cell firing in medial entorhinal cortex. Phil. Trans. R. Soc. B 369: 20120523] showed that an inhibitory network of such cells can support periodic travelling waves with a period that is controlled by the dynamics of the Ih current. Hasselmo has suggested that these waves can underlie the generation of grid cells, and that the known difference in Ih resonance frequency along the dorsal to ventral axis can explain the observed size and spacing between grid cell firing fields. Here we develop a biophysical spiking model within a framework that allows for analytical tractability. We combine the simplicity of integrate-and-fire neurons with a piecewise linear caricature of the gating dynamics for HCN channels to develop a spiking neural field model of MEC. Using techniques primarily drawn from the field of nonsmooth dynamical systems we show how to construct periodic travelling waves, and in particular the dispersion curve that determines how wave speed varies as a function of period. This ex- hibits a wide range of long wavelength solutions, reinforcing the idea that rebound spiking is a candidate mechanism for generating grid cell firing patterns. Importantly we develop a wave stability analysis to show how the maximum allowed period is controlled by the dynamical properties of the Ih current. Our theoretical work is validated by numerical simulations of the spiking model in both one and two dimensions.en_GB
dc.description.sponsorshipSC was supported by the European Commission through the FP7 Marie Curie Initial Training Network 289146, NETT: Neural Engineering Transformative Technologies. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research. KCAW was generously supported by the Wellcome Trust Institutional Strategic Support Award (WT105618MA).en_GB
dc.identifier.citationPublished online 25 August 2017en_GB
dc.identifier.doi10.1186/s13408-017-0051-7
dc.identifier.urihttp://hdl.handle.net/10871/28861
dc.language.isoenen_GB
dc.publisherBioMed Central / SpringerOpenen_GB
dc.rights© The Author(s) 2017. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.subjectgrid cellen_GB
dc.subjectmedial entorhinal cortexen_GB
dc.subjecth-currenten_GB
dc.subjectrebound spikingen_GB
dc.subjectintegrate-and-fire modelen_GB
dc.subjectnon-smooth dynamicsen_GB
dc.subjecttravelling waveen_GB
dc.subjectEvans functionen_GB
dc.titleAn analysis of waves underlying grid cell firing in the medial enthorinal cortexen_GB
dc.typeArticleen_GB
dc.identifier.issn2190-8567
dc.descriptionThis is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.en_GB
dc.identifier.journalJournal of Mathematical Neuroscienceen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/


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©  The Author(s) 2017. Open Access
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's licence is described as © The Author(s) 2017. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.