Skip to main content
SpringerLink
Log in
Book cover

Analysis of Neurophysiological Brain Functioning

  • Book
  • © 1999

Overview

Editors:
  1. Christian Uhl

    1. Max-Planck-Institute of Cognitive Neuroscience, Leipzig, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Springer Series in Synergetics (SSSYN)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (15 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Model-Based Analysis of Neurophysiological Brain Function: Introductory Remarks

    1. Model-Based Analysis of Neurophysiological Brain Function: Introductory Remarks

      • D. Yves von Cramon
      Pages 1-3

  3. Models & Concepts

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. What Can Synergetics Contribute to the Understanding of Brain Functioning?

      • Hermann Haken
      Pages 7-40

    3. A Preliminary Physiology of Macro-Neocortical Dynamics and Brain Function

      • Paul L. Nunez
      Pages 41-72

    4. Traversing Scales of Brain and Behavioral Organization I: Concepts and Experiments

      • J. A. Scott Kelso, Armin Fuchs, Viktor K. Jirsa
      Pages 73-89

    5. Traversing Scales of Brain and Behavioral Organization II: Analysis and Reconstruction

      • Armin Fuchs, Viktor K. Jirsa, J. A. Scott Kelso
      Pages 90-106

    6. Traversing Scales of Brain and Behavioral Organization III: Theoretical Modeling

      • Viktor K. Jirsal, J. A. Scott Kelsol, Armin Fuchsl
      Pages 107-125

    7. EEG-Detected Episodes of Low-Dimensional Self-Organized Cortical Activity and the Concept of a Brain Attractor

      • R. Cerf, E. H. El Ouasdad, M. El Amri
      Pages 126-144

  4. Methods & Applications

    1. Front Matter

      Pages 145-145
      Download chapter PDF

    2. Source Modeling

      • Sara Gonzalez Andino, Rolando Grave de Peralta Menendez, Bob W. van Dijk, Jan C. De Munck, Thomas Knösche
      Pages 147-149

    3. Spatio-Temporal Dipole Analysis

      • Thomas R. Knösche
      Pages 150-175

    4. Distributed Source Models: Standard Solutions and New Developments

      • Rolando Grave de Peralta Menendez, Sara Gonzalez Andino
      Pages 176-201

    5. The Spatial Distribution of Spontaneous EEG and MEG

      • Jan C. De Munck, Bob W. Van Dijk
      Pages 202-228

    6. Neurophysiological Brain Function and Synchronization Processes

      • Jürgen Kurths, Peter Tass, Bärbel Schack
      Pages 229-229

    7. Dynamic Topographic Spectral Analysis of Cognitive Processes

      • Bärbel Schack
      Pages 230-251

    8. Complex Phase Synchronization in Neurophysiological Data

      • Peter Tass, Jürgen Kurths, Michael Rosenblum, Jörg Weule, Arkady Pikovsky, Jens Volkmann et al.
      Pages 252-273

    9. Spatio-Temporal Modeling Based on Dynamical Systems Theory

      • Christian Uhl, Rudolf Friedrich
      Pages 274-305

  5. Back Matter

    Pages 307-310
    Download chapter PDF
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • Max-Planck-Institute of Cognitive Neuroscience, Leipzig, Germany

    Christian Uhl

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation