• DocumentCode
    471949
  • Title

    EONS: An Online Synaptic Modeling Platform

  • Author

    Bouteiller, Jean-Marie C. ; Qiu, Yumei ; Ziane, Mohammed B. ; Baudry, Michel ; Berger, Theodore W.

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    4155
  • Lastpage
    4158
  • Abstract
    Chemical synapses, although representing the smallest unit of communication between two neurons in the nervous system constitute a complex ensemble of mechanisms. Understanding these mechanisms and the way synaptic transmission occurs is critical for our comprehension of CNS functions in general and learning and memory in particular. Here we describe a modeling platform called EONS (Elementary Object of Neural System) accessible online, which allows neuroscientists throughout the world to study qualitatively, but also quantitatively the relative contributions of diverse mechanisms underlying synaptic efficacy: the relevance of each and every elements that comprise a synapse, the interactions between these components and their subcellular distribution, as well as the influence of synaptic geometry (presynaptic terminal, cleft and postsynaptic density)
  • Keywords
    cellular biophysics; graphical user interfaces; medical computing; neurophysiology; EONS; chemical synapses; elementary object of neural system; graphical interface; learning; memory; nervous system; neurons communication; online synaptic modeling platform; postsynaptic density; presynaptic terminal; subcellular distribution; synaptic efficacy; synaptic geometry; synaptic transmission; Biological system modeling; Biology computing; Biomedical engineering; Calcium; Chemical elements; Computational biology; Geometry; Kinetic theory; Neurons; Neurotransmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260693
  • Filename
    4462716