• DocumentCode
    3186638
  • Title

    Insights on synaptic paired-pulse response using parametric and non-parametric models

  • Author

    Bouteiller, Jean-Marie C. ; Hu, E. ; Allam, Sushmita L. ; Ghaderi, Viviane ; Dong Song ; Berger, Theodore W.

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    1041
  • Lastpage
    1044
  • Abstract
    Paired-pulse protocol is a well-established stimulation pattern used to characterize short-term changes in synaptic potency. Due to the experimental difficulty in accessing and measuring responses and interactions between subsynaptic elements, understanding the mechanisms that shape synaptic response is extremely challenging. We already proposed to address this issue and gain insights on the matter using a complex integrated modeling platform called EONS (Elementary Objects of the Nervous System). The use of this parametric platform provided us with insightful information on the subsynaptic components and how their interactions shape synaptic dynamics. We herein propose to add and combine a non-parametric model to (i) simplify the modeling framework, the number of underlying parameters and the overall computational complexity while faithfully maintaining the desirable synaptic behavior and (ii) provide a clear and concise framework to characterize AMPA and NMDA contributions to the observed paired-pulse responses.
  • Keywords
    bioelectric phenomena; brain models; neurophysiology; statistical analysis; AMPA contribution; EONS; Elementary Objects of the Nervous System; NMDA contribution; integrated modeling platform; nonparametric models; paired pulse protocol; parametric platform; stimulation pattern; subsynaptic elements; synaptic paired pulse response; synaptic potency short term change; synaptic response; Biological system modeling; Biomedical engineering; Calcium; Computational modeling; Educational institutions; Hidden Markov models; Parametric statistics; Animals; Electrophysiological Phenomena; Humans; Models, Neurological; Receptors, AMPA; Receptors, N-Methyl-D-Aspartate; Statistics, Nonparametric; Synapses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6609682
  • Filename
    6609682