Advanced Methods of Physiological System Modeling: Volume 3 / Edition 1

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More About This Textbook


The third volume in this series presents the state of the art in advanced modeling methodologies as well as their application to problems of biomedical interest. Here, contributors discuss current studies of nonlinear dynamics of physiological systems, covering a broad spectrum of topics ranging in scope from methodological issues of nonlinear modeling to quantitative interpretations of nonlinear models of physiological function. Discussions feature the Volterra-Wiener approach of nonparametric modeling of nonlinear dynamic systems.

This book contains black-and-white illustrations.

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Product Details

  • ISBN-13: 9780306448195
  • Publisher: Springer US
  • Publication date: 1/1/1994
  • Edition description: 1994
  • Edition number: 1
  • Pages: 272
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.69 (d)

Table of Contents

Nonlinear Modeling of Physiological Systems Using Principal Dynamic Modes (V.Z. Marmarelis). Experimental Basis for an Input/Output Model of the Hippocampal Formation (T.W. Berger et al.). Computational Methods of Neuronal Network Decomposition (R.J. Sclabassi et al.). An Extension of the Msequence Technique for the Analysis of Multiinput Nonlinear Systems (E.A. Benardete, J.D. Victor). Examples of the Investigation of Neural Information Processing by Point Process Analysis (D.R. Brillinger, A.E.P. Villa). Testing a Nonlinear Model of Sensory Adaptation with a Range of Step Input Functions (A.S. French, S.K. Patrick). Identification of Nonlinear System with Feedback Structure (J. Shi, H.H. Sun). Identification of Multipleinput Nonlinear Systems Using Nonwhite Test Signals (D.T. Westwick, R.E. Kearney). Nonlinear System Identification of Hippocampal Neurons (B.L. Bardakjian et al.). Parametric and Nonparametric Nonlinear Modeling of Renal Autoregulation Dynamics (K.H. Chon et al.). 5 additional articles. Index.
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