• DocumentCode
    3401271
  • Title

    Theoretical decomposition of neuronal networks

  • Author

    Sclabassi, R.J. ; Krieger, D.N. ; Solomon, J. ; Kosanovic, B. ; Berger, T.W.

  • Author_Institution
    Center of Neurosci., Pittsburgh Univ., PA, USA
  • fYear
    1991
  • fDate
    14-17 May 1991
  • Firstpage
    114
  • Abstract
    An approach to the calculation of the unobservable elements of the hippocampal formation is presented. The approach is based on characterizing the transformational properties of this neuronal structure using the kernels of a functional power series expansion. In this approach the network properties are characterized as the composite of input/output functions measured for each subsystem in the network. The multidimensional Laplace transforms are then computed and manipulated to provide an estimate of the transformation properties of the unobservable elements
  • Keywords
    brain models; neural nets; physiological models; decomposition; functional power series expansion; hippocampal formation; input/output functions; kernels; multidimensional Laplace transforms; network properties; neuronal networks; neuronal structure; transformation properties; unobservable elements; Biological neural networks; Brain; Electrophysiology; Hippocampus; Kernel; Multidimensional systems; Nerve fibers; Neurofeedback; Neurons; Neuroscience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-0620-1
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1991.252139
  • Filename
    252139