Buch, Englisch, 311 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
Buch, Englisch, 311 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
Reihe: Springer Series in Synergetics
ISBN: 978-3-642-64219-7
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Model-Based Analysis of Neurophysiological Brain Function: Introductory Remarks.- I Models & Concepts.- What Can Synergetics Contribute to the Understanding of Brain Functioning?.- A Preliminary Physiology of Macro-Neocortical Dynamics and Brain Function.- Traversing Scales of Brain and Behavioral Organization: I. Concepts and Experiments.- II. Analysis and Reconstruction.- III. Theoretical Modeling.- EEG-Detected Episodes of Low-Dimensional Self-Organized Cortical Activity and the Concept of a Brain Attractor.- II Methods & Applications.- Source Modeling.- Spatio-Temporal Dipole Analysis.- Distributed Source Models: Standard Solutions and New Developments.- The Spatial Distribution of Spontaneous EEG and MEG.- Neurophysiological Brain Function and Synchronization Processes.- Dynamic Topographic Spectral Analysis of Cognitive Processes.- Complex Phase Synchronization in Neurophysiological Data.- Spatio-Temporal Modeling Based on Dynamical Systems Theory.
