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Titlebook: Analysis of Neurophysiological Brain Functioning; Christian Uhl Book 1999 Springer-Verlag Berlin Heidelberg 1999 brain.dynamical systems.d

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期刊全稱Analysis of Neurophysiological Brain Functioning
影響因子2023Christian Uhl
視頻videohttp://file.papertrans.cn/157/156402/156402.mp4
學(xué)科分類Springer Series in Synergetics
圖書封面Titlebook: Analysis of Neurophysiological Brain Functioning;  Christian Uhl Book 1999 Springer-Verlag Berlin Heidelberg 1999 brain.dynamical systems.d
影響因子The analysis of neurophysiological brain function is a highly interdisciplinary field of research. In addition to the traditional areas of psychology and neurobiology, various other scientific disciplines, such as physics, mathematics, computer science, and engineering, are involved. The book reviews a wide spectrum of model-based analyses of neurophysiological brain function. In the first part, physical and physiological models and synergetic concepts are presented. The second part focuses on analysis methods and their applications to EEG/MEG data sets. It reviews methods of source localization, the investigation of synchronization processes, and spatio-temporal modeling based on dynamical systems theory. The book includes contributions by well-known scientists such as Hermann Haken, Scott Kelso and Paul Nunez, among others. It is written for students and scientists from all the above-mentioned fields.
Pindex Book 1999
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What Can Synergetics Contribute to the Understanding of Brain Functioning?oncerned with the analysis of EEG and MEG data. In these experiments, electric and/or magnetic fields are measured by means of arrays of sensors. The measurements consist in recording time-series of the corresponding fields. The spatial resolution is given by the separation of the sensors on the sca
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Traversing Scales of Brain and Behavioral Organization III: Theoretical Modelingtewart 1993, Sch?ner et al. 1990) or different configurations among the joints for trajectory formation tasks (Buchanan et al. 1997, Kelso et al. 1991). These states have different stabilities dependent on external or internal control parameters. When such control parameters are manipulated, coordin
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Spatio-Temporal Dipole Analysisain processes. The task of disentangling these components requires firm assumptions about their properties. Often it is assumed that each . component is characterised by one . component (i.e. a time series) and one . component (i.e. a scalp distribution). Although this view is somewhat simplistic, i
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Distributed Source Models: Standard Solutions and New Developments88) that can be written as: . where ..(.) stands for the vector lead field associated to the .th sensor, that is operated on (scalar or vector product ○) with the unknown current density vector .(.). The integration of this product over the whole region . results in the .th measurement. The .. stand
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