Christian Uhl

Analysis of Neurophysiological Brain Functioning (Softcover Reprint of the Origi) Christian Uhl Softcover Reprint of the Original 1st Ed. 1999 edition

Jacket Description/Back: The analysis of neurophysiological brain functioning 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 functioning. 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 including, among others, Hermann Haken, Scott Kelso and Paul Nunez. It is written for students and scientists from all the above-mentioned fields. Table of Contents: 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.