• DocumentCode
    229228
  • Title

    An analysis of dynamics of CA3b in Hippocampus

  • Author

    Keshavarz-Hedayati, B. ; Dimopoulos, N.J. ; Babul, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
  • fYear
    2014
  • fDate
    14-17 July 2014
  • Firstpage
    375
  • Lastpage
    383
  • Abstract
    In this paper we will present a computational model of area CA3b in Hippocampus and through simulations show that this system is capable of sustaining a rhythm without any external input using only a small portion of its population.The model proposed here was devised using the biological data available on CA3. Our simulations have shown that the rhythmic emergent behaviour is sustainable and that we can alter its characteristics (i.e. spectrum) by altering the overall physical characteristics of the network such as the overall size of the structure itself or the extent of the connectivity field.
  • Keywords
    medical computing; neurophysiology; CA3b dynamics analysis; biological data; connectivity field; hippocampus; physical characteristics; rhythmic emergent behaviour; Biological system modeling; Computational modeling; Computer architecture; Computers; Hippocampus; Nerve fibers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), 2014 International Conference on
  • Conference_Location
    Agios Konstantinos
  • Type

    conf

  • DOI
    10.1109/SAMOS.2014.6893236
  • Filename
    6893236