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Titlebook: Brain Dynamics; Progress and Perspec Erol Ba?ar,Theodore H. Bullock Conference proceedings 1989 Springer-Verlag Berlin Heidelberg 1989 Chao

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31#
發(fā)表于 2025-3-26 22:38:27 | 只看該作者
32#
發(fā)表于 2025-3-27 03:20:05 | 只看該作者
The Micro-EEG Represents Varied Degrees of Cooperativity Among Wide-Band Generators: Spatial and Temro-EEG and event-related potentials (ERPs), manifest a certain amount of cooperativity superimposed on the vector sum of stochastic events in great numbers of generators, largely disordered geometrically, and that the degree of cooperativity, which includes synchrony of slower, subthreshold potentia
33#
發(fā)表于 2025-3-27 08:34:50 | 只看該作者
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發(fā)表于 2025-3-27 11:33:54 | 只看該作者
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發(fā)表于 2025-3-27 17:31:44 | 只看該作者
The EEG is a Quasi-Deterministic Signal Anticipating Sensory-Cognitive Tasks relevant information in the central nervous system (CNS). Analyses of the EEG, of evoked potentials (EPs), and of endogenous potentials (the P300 family) are among the most fundamental research tools for understanding the sensory and cognitive information processing in the brain. Many reports in th
36#
發(fā)表于 2025-3-27 21:01:38 | 只看該作者
Microstates of the Brain in EEG and ERP Mapping Studiesus dependency on, the momentary global functional state of the brain. The state (Ashby 1960) might be defined by anatomical, biochemical, electrophysiological, behavioral, and other measures (Koukkou et al. 1980).
37#
發(fā)表于 2025-3-28 00:47:41 | 只看該作者
Spatiotemporal Aspects of Synergetic Processes in the Auditory Cortex as Revealed by the Magnetoencesee, e.g., Haken 1977, 1980 a, b). The macroscopic behavior of such a system can change dramatically when certain external parameters are varied. The classical physical example of a synergetic system is the laser, which exhibits quite a number of ordering effects. It was Haken (1977) and Ba?ar (1983
38#
發(fā)表于 2025-3-28 02:13:25 | 只看該作者
39#
發(fā)表于 2025-3-28 07:37:36 | 只看該作者
Self-Similarity in Hyperchaotic Datanlinear science (Martien and Shaw 1985). There are numerical methods for estimating the embedding dimension of a signal generated by a dynamic system (Froehling et al. 1981) which have been successfully applied to many kinds of data including brain-generated ones (see Mayer-Kress 1986 for many refer
40#
發(fā)表于 2025-3-28 11:37:32 | 只看該作者
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