Literature DB >> 1714549

Reconstruction of hippocampal granule cell electrophysiology by computer simulation.

G L Yuen1, D Durand.   

Abstract

A model of the hippocampal granule cells was created that closely approximated most of the measured intracellular responses from a neuron under a variety of stimulus conditions. This model suggests that: (1) A simple, four-conductance model can account for most of the intracellular behavior of these neurons. (2) The repolarization mechanism in granule cells may be different from that in squid axons. A weak potassium conductance may be present in hippocampal granule neurons, which simultaneously give rise to a small, passive depolarizing afterpotential. (3) The strength duration properties may assist in identifying the electronic and sodium channel properties with short stimulus pulse widths. (4) Repetitive firing responses are highly dependent on the cell's recent history of activation and the regulation of the slow potassium conductance and calcium dynamics. (5) The anodic break response is probably not a property of typical granule cells. Through thorough and precise comparison of experimental and model responses, computer simulations can help assembling channel information into verifiable models that accurately reproduce intracellular data.

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Year:  1991        PMID: 1714549     DOI: 10.1016/0306-4522(91)90337-n

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  14 in total

1.  Role of multiple calcium and calcium-dependent conductances in regulation of hippocampal dentate granule cell excitability.

Authors:  I Aradi; W R Holmes
Journal:  J Comput Neurosci       Date:  1999 May-Jun       Impact factor: 1.621

2.  Modulation of network behaviour by changes in variance in interneuronal properties.

Authors:  I Aradi; I Soltesz
Journal:  J Physiol       Date:  2002-01-01       Impact factor: 5.182

3.  A dynamical model of fast cortical reorganization.

Authors:  Marcelo Mazza; Marilene de Pinho; José Roberto C Piqueira; Antônio C Roque
Journal:  J Comput Neurosci       Date:  2004 Mar-Apr       Impact factor: 1.621

4.  AHP's, HAP's and DAP's: how potassium currents regulate the excitability of rat supraoptic neurones.

Authors:  Peter Roper; Joseph Callaway; Talent Shevchenko; Ryoichi Teruyama; William Armstrong
Journal:  J Comput Neurosci       Date:  2003 Nov-Dec       Impact factor: 1.621

5.  Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit.

Authors:  Marianne J Bezaire; Ivan Raikov; Kelly Burk; Dhrumil Vyas; Ivan Soltesz
Journal:  Elife       Date:  2016-12-23       Impact factor: 8.140

6.  T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells.

Authors:  Hermann Cuntz; Peter Jedlicka; Marcel Beining; Lucas Alberto Mongiat; Stephan Wolfgang Schwarzacher
Journal:  Elife       Date:  2017-11-22       Impact factor: 8.140

7.  Increased transient Na+ conductance and action potential output in layer 2/3 prefrontal cortex neurons of the fmr1-/y mouse.

Authors:  Brandy N Routh; Rahul K Rathour; Michael E Baumgardner; Brian E Kalmbach; Daniel Johnston; Darrin H Brager
Journal:  J Physiol       Date:  2017-05-23       Impact factor: 5.182

8.  Shaping of action potentials by type I and type II large-conductance Ca²+-activated K+ channels.

Authors:  D B Jaffe; B Wang; R Brenner
Journal:  Neuroscience       Date:  2011-07-01       Impact factor: 3.590

9.  A Million-Plus Neuron Model of the Hippocampal Dentate Gyrus: Critical Role for Topography in Determining Spatiotemporal Network Dynamics.

Authors:  Phillip J Hendrickson; Gene J Yu; Dong Song; Theodore W Berger
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-16       Impact factor: 4.538

10.  How glutamatergic synapse loss affects the firing rhythm of DG-CA3 model related with Alzheimer's disease.

Authors:  Han Dong; XiaoLi Yang; ZhongKui Sun
Journal:  Cogn Neurodyn       Date:  2021-08-16       Impact factor: 5.082

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