IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v440y2006i7087d10.1038_nature04610.html
   My bibliography  Save this article

Unique features of action potential initiation in cortical neurons

Author

Listed:
  • Björn Naundorf

    (Max Planck Institute for Dynamics and Self-Organization
    Department of Physics
    University of Göttingen)

  • Fred Wolf

    (Max Planck Institute for Dynamics and Self-Organization
    Department of Physics
    University of Göttingen)

  • Maxim Volgushev

    (Ruhr-University Bochum
    Institute of Higher Nervous Activity and Neurophysiology Russian Academy of Sciences)

Abstract

Quick thinking Neurons in the brain communicate via electric pulses or action potentials of a fraction of a volt, that last about a thousandth of a second. In 1952, Alan Hodgkin and Andrew Huxley received a share in the Nobel prize for their theory of action potential generation, developed from work on the squid giant axon. Ever since it has been tacitly assumed that nerve impulses are generated in much the same way in all animals from slugs to humans. Now a study of the cortical neurons of higher animals suggests that this assumption may need to be revised. Key features of cortical action potential initiation depart from predictions of the Hodgkin–Huxley theory, as the neurons are much more tailored for fast information processing than was assumed.

Suggested Citation

  • Björn Naundorf & Fred Wolf & Maxim Volgushev, 2006. "Unique features of action potential initiation in cortical neurons," Nature, Nature, vol. 440(7087), pages 1060-1063, April.
  • Handle: RePEc:nat:nature:v:440:y:2006:i:7087:d:10.1038_nature04610
    DOI: 10.1038/nature04610
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature04610
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature04610?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Skander Mensi & Olivier Hagens & Wulfram Gerstner & Christian Pozzorini, 2016. "Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons," PLOS Computational Biology, Public Library of Science, vol. 12(2), pages 1-38, February.
    2. Cristina Rueda & Itziar Fernández & Yolanda Larriba & Alejandro Rodríguez-Collado, 2021. "The FMM Approach to Analyze Biomedical Signals: Theory, Software, Applications and Future," Mathematics, MDPI, vol. 9(10), pages 1-13, May.
    3. Lucy J Colwell & Michael P Brenner, 2009. "Action Potential Initiation in the Hodgkin-Huxley Model," PLOS Computational Biology, Public Library of Science, vol. 5(1), pages 1-7, January.
    4. Jonathan Platkiewicz & Romain Brette, 2010. "A Threshold Equation for Action Potential Initiation," PLOS Computational Biology, Public Library of Science, vol. 6(7), pages 1-16, July.
    5. Robert C Cannon & Giampaolo D'Alessandro, 2006. "The Ion Channel Inverse Problem: Neuroinformatics Meets Biophysics," PLOS Computational Biology, Public Library of Science, vol. 2(8), pages 1-8, August.
    6. Lior Tiroshi & Joshua A Goldberg, 2019. "Population dynamics and entrainment of basal ganglia pacemakers are shaped by their dendritic arbors," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-29, February.
    7. Paul M Harrison & Laurent Badel & Mark J Wall & Magnus J E Richardson, 2015. "Experimentally Verified Parameter Sets for Modelling Heterogeneous Neocortical Pyramidal-Cell Populations," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-23, August.
    8. Contoyiannis, Yiannis F. & Kosmidis, Efstratios K. & Diakonos, Fotios K. & Kampitakis, Myron & Potirakis, Stelios M., 2022. "A hybrid artificial neural network for the generation of critical fluctuations and inter-spike intervals," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
    9. Ahmed A Aldohbeyb & Jozsef Vigh & Kevin L Lear, 2021. "New methods for quantifying rapidity of action potential onset differentiate neuron types," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-20, April.

    More about this item

    Statistics

    Access and download statistics

    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:nat:nature:v:440:y:2006:i:7087:d:10.1038_nature04610. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.