Brain Dynamics

1. Front Matter

   Pages I-XIX

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2. Basic Approaches

   1. Front Matter

      Pages 1-1

      PDF

   2. Introductory Remarks

      • T. H. Bullock

      Pages 3-4

   3. The Micro-EEG Represents Varied Degrees of Cooperativity Among Wide-Band Generators: Spatial and Temporal Microstructure of Field Potentials

      • T. H. Bullock

      Pages 5-12

   4. Electrogenesis of Evoked Potentials

      • R. Galambos

      Pages 13-25

   5. Cell Membranes, Electromagnetic Fields, and Intercellular Communication

      • W. R. Adey

      Pages 26-42

   6. The EEG is a Quasi-Deterministic Signal Anticipating Sensory-Cognitive Tasks

      • E. Başar, C. Başar-Eroglu, J. Röschke, A. Schütt

      Pages 43-71

   7. Microstates of the Brain in EEG and ERP Mapping Studies

      • D. Lehmann

      Pages 72-83

   8. Spatiotemporal Aspects of Synergetic Processes in the Auditory Cortex as Revealed by the Magnetoencephalogram

      • M. Hoke, K. Lehnertz, C. Pantev, B. Lütkenhöner

      Pages 84-105

3. Theoretical Approaches to Brain Function (Linear and Nonlinear)

   1. Front Matter

      Pages 107-107

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   2. Introductory Remarks

      • E. Başar

      Pages 109-112

   3. Self-Similarity in Hyperchaotic Data

      • O. E. Rössler, J. L. Hudson

      Pages 113-121

   4. Estimation of Correlation Dimensions from Single and Multichannel Recordings — A Critical View

      • A. Babloyantz

      Pages 122-130

   5. Correlation Dimensions in Various Parts of Cat and Human Brain in Different States

      • J. Röschke, E. Başar

      Pages 131-148

   6. Magnetoencephalography and Attractor Dimension: Normal Subjects and Epileptic Patients

      • K. Saermark, J. Lebech, C. K. Bak, A. Sabers

      Pages 149-157

   7. Chaotic Attractors in a Model of Neocortex: Dimensionalities of Olfactory Bulb Surface Potentials Are Spatially Uniform and Event Related

      • J. E. Skinner, J. L. Martin, C. E. Landisman, M. M. Mommer, K. Fulton, M. Mitra et al.

      Pages 158-173

   8. Dimensional Analysis of the Waking EEG

      • K. E. Graf, T. Elbert

      Pages 174-191

   9. A Model of the Generation of Electrocortical Rhythms

      • K. J. Blinowska, P. J. Franaszczuk

      Pages 192-201

   10. Linearity and Nonlinearity in Electrocortical Waves, and Their Elementary Statistical Dynamics

       • J. J. Wright

       Pages 202-213

   11. Can Artificial Intelligence Help in Finding How Brains May Work?

       • A. de Callataÿ

       Pages 214-232

This volume is based on contributions to the second Brain Dynamics Conference, held in Berlin on August 10-14, 1987, as a satellite conference of the Budapest Congress of the International Brain Research Organization. Like the volume resulting from the first conference, Dynamics of Sensory and Cognitive Processing by the Brain, the present work covers new approaches to brain function, with emphasis on electromagnetic fields, EEG, event-related potentials, connectivistic views, and neural networks. Close attention is also paid to research in the emerging field of deterministic chaos and strange attractors. The diversity of this collection of papers reflects a multipronged advance in a hitherto relatively neglected domain, i. e., the study of signs of dynamic processes in organized neural tissue in order both to explain them and to exploit them for clues to system function. The need is greater than ever for new windows. This volume reflects a historical moment, the moment when a relatively neglected field of basic research into available signs of dynamic processes ongoing in organized neural tissue is expanding almost explosively to complement other approaches. From the topics treated, this book should appeal, as did its predecessor, to neuroscientists, neurologists, scientists studying complex systems, artificial intelligence, and neural networks, psychobiologists, and all basic and clinical investigators concerned with new techniques of monitoring and analyzing the brain's electromagnetic activity.

• Chaos
• EEG
• Electromagnetische Felder
• Nervous System
• evozierte Potentiale
• neurale Netzwerke

• Institute of Physiology, Medical University Lübeck, Lübeck 1, Germany

  Erol Başar

• Dept. of Neurosciences, A-001, University of California, San Diego La Jolla, USA

  Theodore H. Bullock

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