IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v560y2020ics0378437120305756.html
   My bibliography  Save this article

Circuit dynamics in lobster stomatogastric ganglion based on winnerless competition network

Author

Listed:
  • Lin, Hui
  • Liu, Shen-Quan

Abstract

The research of the circuit dynamics of the lobster stomatogastric ganglion (STG) inspires the understanding of the roles that regulates the rhythm of the lobster STG. In this paper, the lobster STG was analyzed by using Winnerless Competition (WLC) network. We got the rhythm of the gastric and pyloric circuits, which is similar to the experimental results, showing abundant firing modes especially the mixed-mode oscillations (MMOs). Firstly, we focused on the inhibitory loops in the STG which show the local dynamic properties of the system. The results show that the firing orders encode the information of these loops, and how the neurons’ spike numbers fluctuate with the change of an external stimulus acting on a neuron in the loops. Secondly, we researched the global dynamic properties of the STG. On the one hand, we discussed on the influence of the gap junction strength to firing results of the whole network. On the other hand, we showed that the WLC network of lobster STG has the potential to display chaos with a positive Lyapunov exponent.

Suggested Citation

  • Lin, Hui & Liu, Shen-Quan, 2020. "Circuit dynamics in lobster stomatogastric ganglion based on winnerless competition network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    • Handle: RePEc:eee:phsmap:v:560:y:2020:i:c:s0378437120305756
    DOI: 10.1016/j.physa.2020.125107
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437120305756
    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.2020.125107?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:560:y:2020:i:c:s0378437120305756. 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.