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Advanced Methods of Physiological System Modeling: Volume 2

✍ Scribed by Vasilis Z. Marmarelis (auth.), Vasilis Z. Marmarelis (eds.)


Publisher
Springer US
Year
1989
Tongue
English
Leaves
300
Edition
1
Category
Library

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✦ Synopsis


This volume is the second in a series of publications sponsored by the Biomedical Simulations Resource (BMSR) at the University of Southern California that report on recent research developments in the area of physiological systems modeling and analΒ­ ysis of physiological signals. As in the first volume of this series, the work reported herein is concerned with the development of advanced methodologies and their novel application to problems of biomedical interest, with emphasis on nonlinear aspects of physiological function. The term "advanced methodologies" is used to indicate that the scope of this work extends beyond the ordinary type of analysis used by most investigators in this area, which is confined primarily in the linear domain. As the imΒ­ portance of nonlinearities in understanding the complex mechanisms of physiological function is increasingly recognized, the need for effective and practical methodoloΒ­ gies that address the issue of nonlinear dynamics in life sciences becomes more and more pressing. The publication of these volumes and the workshops, organized by the BMSR on the same subject, are two key activities in our efforts to promote and intensify research in this area, foster interaction and collaboration among interested investigators, and disseminate recent results throughout the biomedical community.

✦ Table of Contents


Front Matter....Pages i-viii
Volterra-Wiener Analysis of a Class of Nonlinear Feedback Systems and Application to Sensory Biosystems....Pages 1-52
Parameter Estimation for Nongaussian Processes via Second and Third Order Spectra with an Application to Some Endocrine Data....Pages 53-61
Analysis of the Whole-Nerve Responses from the Exposed Auditory Nerve in Man to Pseudorandom Noise....Pages 63-80
Nonlinear Models of Transduction and Adaptation in Locust Photoreceptors....Pages 81-95
Identification of Intensive Nonlinearities in Cascade Models of Visual Cortex and its Relation to Cell Classification....Pages 97-111
Modeling of Neuronal Networks Through Experimental Decomposition....Pages 113-128
Theoretical Decomposition of Neuronal Networks....Pages 129-146
The Geometry of System Identification: Fractal Dimension and Integration Formulae....Pages 147-164
Fast Orthogonal Algorithms for Nonlinear System Identification and Time-Series Analysis....Pages 165-177
New Algorithm for Korenberg-Billings Model of Nonlinear System Identification....Pages 179-199
Nonlinear Filters for Tracking Chaos in Neurobiological Time Series....Pages 201-213
Chaotic Heart Rate Dynamics in Isolated Perfused Rat Hearts....Pages 215-224
Introduction to the Properties and Analysis of Fractal Objects, Processes, and Data....Pages 225-239
Towards a Physics of Neocortex....Pages 241-259
The Use of Wiener-Volterra Methods in the Analysis and Synthesis of Simulated Neural Networks....Pages 261-272
Wiener Analysis of the Hodgkin-Huxley Equations....Pages 273-297
Back Matter....Pages 299-302

✦ Subjects


Biomedical Engineering


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