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Titlebook: Advanced Methods of Physiological System Modeling; Volume 3 Vasilis Z. Marmarelis Book 1994 Springer Science+Business Media New York 1994 a

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期刊全稱Advanced Methods of Physiological System Modeling
期刊簡稱Volume 3
影響因子2023Vasilis Z. Marmarelis
視頻videohttp://file.papertrans.cn/146/145953/145953.mp4
圖書封面Titlebook: Advanced Methods of Physiological System Modeling; Volume 3 Vasilis Z. Marmarelis Book 1994 Springer Science+Business Media New York 1994 a
影響因子This volume is the third in a series entitled" Advanced Methods of Physiological System Modeling" and the fifth in a series of research volumes published by Plenum under the sponsorship of the Biomedical Simulations Resource (BMSR) at the Uni- versity of Southern California in the context of dissemination activities supported by the Biomedical Research Technology Program of the National Center for Research Resources at the National Institutes of Health under Grant No. P41 RR-OI861. These volumes are edited by BMSR principal scientists and report on recent research de- velopments in the area of physiological systems modeling, as well as on advanced methods for analysis of physiological signals and data. As in the previous two volumes of this series, the work reported herein is con- cerned with the development of advanced modeling 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, which is confined traditionally to the linear domain. As the importance of nonlinearities i
Pindex Book 1994
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Bernward M?lle,Andreas Ommer,Josef Gironaeedback loops which lend themselves to study through the use of systems theory In this approach, the network properties are characterized as the composite of input/output functions measured for each subsystem in the network. The characterizing functions are thekernels of a functional power series, a
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Dermatologische Erkrankungen des Anorektumsbility function of a neuron model, on the basis of recorded output and corresponding input spike trains, is described and illustrated for the neuron L3 of Aplysia californica firing under the influence of the neuron L10. The procedure of employing partial coherences to “remove” the effects of a comm
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Bernward M?lle,Andreas Ommer,Josef Gironad. This pa-per is aimed to develop a method of identification that will reach into the internal structure of the system including feedback, where each one of the blocks can be individually identified. We shall first present a number of new theorems to model the nonlinear system into a system of Chap
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L. Marti,L. Marti,A. Herold,K. Wolffon of physiological systems cannot be achieved with nonparametric methods. Parametric modeling methods (i.e., Nonlinear Auto-Regressive Moving-Average (NARMA) models) may offer the means for parsimonious model representation. This pa-per explores the use of NARMA modeling via Korenberg’s fast orthog
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