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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Applications of the White-Noise Method to Neural Systems, or two inputs, continuous or discrete input or output, etc.) and illustrate the various techniques and strategies of the white-noise method (e.g., choice of quasiwhite stimulus, representation of discrete data etc.).

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2.9.2 Linear and symmetric top molecules,us chapters; for example, systems whose characteristics change with time (nonstationary systems), or whose inputs are functions of more than one independent variable (e.g., spatiotemporal stimuli). Several alternative methods of treating systems with point process (discrete) inputs and outputs (e.g., neural systems) are also presented.

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2.7.4.3 References for 2.7.4.2,— the main thrust of research up to now has focused on each particular level of this organization, e.g., at the molecular, cellular, or behavioral level. The relationships and interdependences between the various levels have been relatively neglected. This latter endeavor belongs to the realm of sys

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2.7.4.3 References for 2.7.4.2,avail ourselves of this opportunity to present the mathematical preliminaries necessary for the development of the methodology of functional identification of systems (primarily the white-noise approach) that will be discussed in the remainder of this book. In the course of this discussion we presen

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2.6.4 Asymmetric top molecules,g transformation of a stimulus signal into a response signal..In this chapter we discuss the methodology that has been prevalent among physiologists in describing transformations of the stimulus into response signals. This methodology has concentrated primarily on measur ing the linear system transf

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