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Titlebook: Analysis of Physiological Systems; The White-Noise Appr Panos Z. Marmarelis,Vasilis Z. Marmarelis Book 19781st edition Springer Science+Bus

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期刊全称Analysis of Physiological Systems
期刊简称The White-Noise Appr
影响因子2023Panos Z. Marmarelis,Vasilis Z. Marmarelis
视频video
学科分类Computers in Biology and Medicine
图书封面Titlebook: Analysis of Physiological Systems; The White-Noise Appr Panos Z. Marmarelis,Vasilis Z. Marmarelis Book 19781st edition Springer Science+Bus
影响因子In studying physiological systems bioscientists are continually faced with the problem of providing descriptions of cause-effect relationships. This task is usually carried out through the performance of stimulus-response experiments. In the past, the design of such experiments has been ad hoc, incomplete, and certainly inefficient. Worse yet, bioscientists have failed to take advantage of advances in fields directly related to their problems (specifically, advances in the area of systems analysis). The raison d‘etre of this book is to rectify this deficiency by providing the physiologist with methodological tools that will be useful to him or her in everyday labora­ tory encounters with physiological systems. The book was written so that it would be practical, useful, and up-to­ date. With this in mind, parts of it give step-by-step descriptions of in the laboratory. It is hoped that this systematic procedures to be followed will increase the usefulness of the book to the average research physiologist and, perhaps, reduce the need for in-depth knowledge of some of the associated mathematics. Even though the material deals with state-of-the­ art techniques in systems and signal ana
Pindex Book 19781st edition
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2.6.4 Asymmetric top molecules,onlinear. In much the same way that nonlinearities optimize the design of artificial systems, nonlinearities seem to be necessary for the optimal functioning of physiological systems from the behavioral point of view. There are many such examples: the logarithmic transformation of sensory input in o
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No. 144 C3H5NO2 - No. 229 ClFH2S,n this chapter we examine some of the computational considerations and present techniques that can be employed in estimating kernels. In this whole discussion, the crosscorrelation approach to kernel estimation is used, for reasons concerning the theoretical advantages of this approach (cf. Sec. 4.3
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2.7.4.3 References for 2.7.4.2,count the characteristics of the system and the experimental limitations inherent in its study by stimulus—response experiments. This is especially important in the study of such physiological systems for which the measurement and even the choice of input and output is a difficult task (e.g., neural
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