IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0188003.html
   My bibliography  Save this article

A model of individualized canonical microcircuits supporting cognitive operations

Author

Listed:
  • Tim Kunze
  • Andre D H Peterson
  • Jens Haueisen
  • Thomas R Knösche

Abstract

Major cognitive functions such as language, memory, and decision-making are thought to rely on distributed networks of a large number of basic elements, called canonical microcircuits. In this theoretical study we propose a novel canonical microcircuit model and find that it supports two basic computational operations: a gating mechanism and working memory. By means of bifurcation analysis we systematically investigate the dynamical behavior of the canonical microcircuit with respect to parameters that govern the local network balance, that is, the relationship between excitation and inhibition, and key intrinsic feedback architectures of canonical microcircuits. We relate the local behavior of the canonical microcircuit to cognitive processing and demonstrate how a network of interacting canonical microcircuits enables the establishment of spatiotemporal sequences in the context of syntax parsing during sentence comprehension. This study provides a framework for using individualized canonical microcircuits for the construction of biologically realistic networks supporting cognitive operations.

Suggested Citation

  • Tim Kunze & Andre D H Peterson & Jens Haueisen & Thomas R Knösche, 2017. "A model of individualized canonical microcircuits supporting cognitive operations," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-29, December.
    • Handle: RePEc:plo:pone00:0188003
    DOI: 10.1371/journal.pone.0188003
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0188003
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0188003&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0188003?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
    ---><---

    References listed on IDEAS

    as
    1. Gustavo Deco & Viktor K Jirsa & Peter A Robinson & Michael Breakspear & Karl Friston, 2008. "The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields," PLOS Computational Biology, Public Library of Science, vol. 4(8), pages 1-35, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andreas Wilmer & Marc de Lussanet & Markus Lappe, 2012. "Time-Delayed Mutual Information of the Phase as a Measure of Functional Connectivity," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-22, September.
    2. Frank Freyer & James A Roberts & Petra Ritter & Michael Breakspear, 2012. "A Canonical Model of Multistability and Scale-Invariance in Biological Systems," PLOS Computational Biology, Public Library of Science, vol. 8(8), pages 1-15, August.
    3. Erik D Fagerholm & Chayanin Tangwiriyasakul & Karl J Friston & Inês R Violante & Steven Williams & David W Carmichael & Suejen Perani & Federico E Turkheimer & Rosalyn J Moran & Robert Leech & Mark P , 2020. "Neural diffusivity and pre-emptive epileptic seizure intervention," PLOS Computational Biology, Public Library of Science, vol. 16(12), pages 1-21, December.
    4. M T Wilson & P A Robinson & B O'Neill & D A Steyn-Ross, 2012. "Complementarity of Spike- and Rate-Based Dynamics of Neural Systems," PLOS Computational Biology, Public Library of Science, vol. 8(6), pages 1-1, June.
    5. Roxana A Stefanescu & Viktor K Jirsa, 2008. "A Low Dimensional Description of Globally Coupled Heterogeneous Neural Networks of Excitatory and Inhibitory Neurons," PLOS Computational Biology, Public Library of Science, vol. 4(11), pages 1-17, November.
    6. Yujiang Wang & Marc Goodfellow & Peter Neal Taylor & Gerold Baier, 2014. "Dynamic Mechanisms of Neocortical Focal Seizure Onset," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-18, August.
    7. Gustavo Deco & Etienne Hugues, 2012. "Neural Network Mechanisms Underlying Stimulus Driven Variability Reduction," PLOS Computational Biology, Public Library of Science, vol. 8(3), pages 1-10, March.

    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:plo:pone00:0188003. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.