IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v343y2004icp487-498.html
   My bibliography  Save this article

A new description for sodium channel gating model based on macroscopic ionic currents in dissociated cerebellar Purkinje neurons

Author

Listed:
  • Kayikcioglu, Temel
  • Ozkaner, Vedat

Abstract

An important task in the application of state-based models to the analysis of ion dynamics is the determination of a realistic gating kinetics of the channel under investigation. Developing a realistic gating model based on measurements involves two tasks. The first task is selection of an appropriate gating model that specifies the number of states and the rate constants. The second task is determination of best parameters within the rate constants. Based on voltage-clamp and resurgent currents, a state model for gating kinetics of sodium channel in dissociated cerebellar Purkinje neurons from rats is developed by Raman and Bean. In this study, we modified the description of this model to incorporate action potential evoked sodium current in addition to voltage-clamp and resurgent currents. The improved model includes several modifications made in the number of states and channel rate constants. The model parameters are determined using trial-and-error procedure to minimize the error between model responses and three experimental data sets. The model reproduces quantitatively all features of the experimental data sets, with minor discrepancies.

Suggested Citation

  • Kayikcioglu, Temel & Ozkaner, Vedat, 2004. "A new description for sodium channel gating model based on macroscopic ionic currents in dissociated cerebellar Purkinje neurons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 343(C), pages 487-498.
  • Handle: RePEc:eee:phsmap:v:343:y:2004:i:c:p:487-498
    DOI: 10.1016/j.physa.2004.03.100
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843710400740X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2004.03.100?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:343:y:2004:i:c:p:487-498. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.