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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No. 144 C3H5NO2 - No. 229 ClFH2S,ibing quantitatively its dynamics. That is, our objective has been the determination of the system functional ., where . = .[.] and ., . are the stimulus and response, respectively. The identification problem was posed as follows: Given a system . = .[.], choose a set of stimuli {.} such that the st

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2.9.3 Asymmetric top molecules,ogical system identification and analysis. In this chapter we present some representative applications of the white-noise method to neural system identification and analysis. These applications are chosen because they include rather interesting cases of physiological system identification (e.g., one

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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.

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Applicability of the White-Noise Method and the Use of Quasiwhite Test Signals,osscorrelation technique, appears to be a general, straightforward, and powerful approach to a subject where great mathematical complexity is usually encountered. However, the generality and the elegance of the method is bound to be moderated in actual applications by limitations imposed by reality.

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https://doi.org/10.1007/978-1-4613-3970-0art; experiment; mathematics; physiology; research

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