Advanced Methods of Physiological System Modeling

Volume 3

Inbunden, Engelska, 1994

1 439 kr

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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.

Produktinformation

Utgivningsdatum1994-10-31
Mått178 x 254 x 21 mm
Vikt600 g
FormatInbunden
SpråkEngelska
Antal sidor272
Upplaga1994
FörlagSpringer Science+Business Media
ISBN9780306448195

Tillhör följande kategorier

Biomedicinsk teknik inom Medicin

Nonlinear Modeling of Physiological Systems Using Principal Dynamic Modes.- Experimental Basis for an Input/Output Model of the Hippocampal Formation.- Computational Methods of Neuronal Network Decomposition.- An Extension of the M-Sequence Technique for the Analysis of Multi-Input Nonlinear Systems.- Examples of the Investigation of Neural Information Processing by Point Process Analysis.- Testing a Nonlinear Model of Sensory Adaptation with a Range of Step Input Functions.- Identification of Nonlinear System with Feedback Structure.- Identification of Multiple-Input Nonlinear Systems Using Non-White Test Signals.- Nonlinear System Identification of Hippocampal Neurons.- Parametric and Nonparametric Nonlinear Modeling of Renal Autoregulation Dynamics.- Identification of Parametric (NARMAX) Models from Estimated Volterra Kernels.- Equivalence between Nonlinear Differential and Difference Equation Models Using Kernel Invariance Methods.- On Kernel Estimation Using Non-Gaussian and/or Non-White Input Data.- On the Relation between Volterra Models and Feedforward Artificial Neural Networks.- Three Conjectures on Neural Network Implementations of Volterra Models (Mappings).- Contributors.