The electroencephalogram: its patterns and origins

Hypothesis and methods of testing it; simulation results

Hypothesis and the oscillator model

Approaches, methods, and EEG database for testing the hypothesis

Simulation of EEG patterns

Tests of predictions from the hypothesis for normal and abnormal EEgs

Waking EEG

Normal EEG during sleep

Normal and abnormal random slowing in the waking state

Epileptiform patterns

Reconstitution of EEGs from extrema and slopes

Appraisal and revision of the extrema-slopes hypothesis on the basis of tests

Appraisal of the hypothesis in relation to anatomy, physiology, and pathophysiology of the EEG; other models; overall appraisal

Some aspects of neocortical anatomy

Physiological basis of the EEG

Pathophysiology of the EEG

Other models of the EEG, and related models

Comparisons with some other models of the EEG

Significance of the extrema-slopes hypothesis: a formulation

Implications for, and applications to, computerized EEG analysis

Limitations of the scope of the present work.

(cont) Methodological note on the wiener clock hypothesis for the alpha rhythm

Technological chapters

Introduction to technological chapters

Oscillator model

Precision full-wave rectifier; transversal filter; tapped delay line

Basic measures

Derived measures

Photo-optical scanner for data retrieval from EEG ink recordings

Time-scale converter (time machine)

Random-noise generators

Instantaneous envelopes of the EEG and of its first derivative; interfacing with the oscillator model

Some traditional methods of EEG analysis: on-line real-time analog implementation

Eliminating or minimizing artifact by paired sampling and by coherent rejection; analog adaptive signal processing

Placement of scalp electrodes.