標題: Titlebook: Analysis of Physiological Systems; The White-Noise Appr Panos Z. Marmarelis,Vasilis Z. Marmarelis Book 19781st edition Springer Science+Bus [打印本頁] 作者: calcification 時間: 2025-3-21 18:41
書目名稱Analysis of Physiological Systems影響因子(影響力)
書目名稱Analysis of Physiological Systems影響因子(影響力)學科排名
書目名稱Analysis of Physiological Systems網(wǎng)絡公開度
書目名稱Analysis of Physiological Systems網(wǎng)絡公開度學科排名
書目名稱Analysis of Physiological Systems被引頻次
書目名稱Analysis of Physiological Systems被引頻次學科排名
書目名稱Analysis of Physiological Systems年度引用
書目名稱Analysis of Physiological Systems年度引用學科排名
書目名稱Analysis of Physiological Systems讀者反饋
書目名稱Analysis of Physiological Systems讀者反饋學科排名
作者: Insul島 時間: 2025-3-21 23:10 作者: 清楚 時間: 2025-3-22 01:23 作者: 輕浮女 時間: 2025-3-22 06:52 作者: 搜尋 時間: 2025-3-22 11:04
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作者: lambaste 時間: 2025-3-22 13:18
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作者: Irksome 時間: 2025-3-22 19:48
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作者: reflection 時間: 2025-3-22 21:38 作者: 玩忽職守 時間: 2025-3-23 04:18 作者: GRATE 時間: 2025-3-23 08:07 作者: 提名的名單 時間: 2025-3-23 11:45
The White-Noise Method in System Identification,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作者: 笨拙處理 時間: 2025-3-23 14:52
Methods of Computation of System Kernels,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作者: 白楊魚 時間: 2025-3-23 21:54
Tests and Analyses Preliminary to Identification Experiment,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作者: itinerary 時間: 2025-3-23 23:35
Peeking into the Black Box,on concerns the . of the system. That is, how is . realized by the different interacting components of the system? How do changes in the characteristics of a particular component affect the system function .? Paradoxically, subanalysis of the system structure often becomes possible if the system is 作者: 食道 時間: 2025-3-24 05:22
Book 19781st editionask 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 (sp作者: 不能仁慈 時間: 2025-3-24 08:23
ps. 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 pr作者: Retrieval 時間: 2025-3-24 14:29 作者: 天空 時間: 2025-3-24 17:01 作者: 煩人 時間: 2025-3-24 20:12 作者: 胎兒 時間: 2025-3-25 00:48 作者: 禍害隱伏 時間: 2025-3-25 05:25 作者: ectropion 時間: 2025-3-25 08:51
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.).作者: 半球 時間: 2025-3-25 12:45 作者: 投票 時間: 2025-3-25 16:03
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.作者: 現(xiàn)暈光 時間: 2025-3-25 22:27
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作者: 大方不好 時間: 2025-3-26 00:43
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作者: 僵硬 時間: 2025-3-26 07:03
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作者: FUME 時間: 2025-3-26 11:47 作者: 淺灘 時間: 2025-3-26 15:16 作者: 行乞 時間: 2025-3-26 18:35 作者: myriad 時間: 2025-3-26 22:24 作者: HUSH 時間: 2025-3-27 02:23 作者: Vasodilation 時間: 2025-3-27 08:29
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作者: linear 時間: 2025-3-27 12:33
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作者: invert 時間: 2025-3-27 15:15
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.作者: harrow 時間: 2025-3-27 21:43
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.作者: DEBT 時間: 2025-3-28 01:35 作者: 前兆 時間: 2025-3-28 03:00 作者: BURSA 時間: 2025-3-28 09:58
https://doi.org/10.1007/978-1-4613-3970-0art; experiment; mathematics; physiology; research作者: 惡意 時間: 2025-3-28 12:59 作者: 使絕緣 時間: 2025-3-28 17:15 作者: Mast-Cell 時間: 2025-3-28 21:34
Analysis of Physiological Signals,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作者: 血統(tǒng) 時間: 2025-3-28 23:05 作者: POWER 時間: 2025-3-29 05:08
The White-Noise Method in System Identification,nlinearity of the stimulus-response transformation that the system performs and how these domains compare with the dominant natural variation of the stimuli in the system’s environment. As we saw in the previous chapter, the analytical advantages of linear systems are many, and, therefore, they just作者: 愛哭 時間: 2025-3-29 09:08
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.作者: Epidural-Space 時間: 2025-3-29 12:47
Methods of Computation of System Kernels,nal relation..Since the formulation of the method by Wiener and his colleagues (Wiener, 1942, 1958; Bose, 1956; Brilliant, 1958; George, 1959; Katzenelson and Gould, 1962, 1964; Lee and Schetzen, 1965; Schetzen, 1965a,b, 1974), one principal difficulty has hampered attempts to apply the method pract作者: 貪婪性 時間: 2025-3-29 15:55 作者: ablate 時間: 2025-3-29 20:02
Tests and Analyses Preliminary to Identification Experiment,d involved if not preceded by considerable preliminary analysis of the system characteristics and the tools available for its study. In addition, the amount of difficulty depends on the nature of the system nonlinearities and the degree of accuracy which we require from the derived characterization 作者: cardiopulmonary 時間: 2025-3-30 02:44 作者: ureter 時間: 2025-3-30 07:51 作者: Conspiracy 時間: 2025-3-30 12:01
Physiological Systems Requiring Special Treatment,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.
