IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v315y2002i1p26-39.html
   My bibliography  Save this article

Proposal for a nonlinear top-down toy model of the brain

Author

Listed:
  • Sen, Surajit

Abstract

Solutions to Newton's equations for particles in one-body potentials of form V1(xi)=∑pA(i)2pxi2p, where p>0 and an integer, can be regarded as generators of infinite sequences of correlated frequencies {Ωm}. Simple nonlinear potentials can hence provide efficient ways of generating correlated information. Two-body potentials V2(xi−xj) can provide ways to communicate aspects of that information between the correlated frequency sequences. Temperature and noise can play a role in introducing a time scale across which the frequencies retain their identity. Introduction of explicit time dependence in the energy terms might be appropriate for constructing top down versions of toy models for the brain, something that is lacking at the present time. The richness of the nonlinear system along with the effects of heat baths, external noise and time dependence allows for the possibility of describing aging effects, processing of information “templates” in the brain and of the development of correlations between such “templates”. In short, nonlinearity, interactions, noise effects and introduction of time-dependent energies might allow for the construction of “top-down” models of the brain with the eventual goal of possibly unifying the neurological, molecular biological, biochemical and psychiatric approaches toward studying the brain.

Suggested Citation

  • Sen, Surajit, 2002. "Proposal for a nonlinear top-down toy model of the brain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 315(1), pages 26-39.
  • Handle: RePEc:eee:phsmap:v:315:y:2002:i:1:p:26-39
    DOI: 10.1016/S0378-4371(02)01364-X
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843710201364X
    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/S0378-4371(02)01364-X?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.

    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:eee:phsmap:v:315:y:2002:i:1:p:26-39. 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.