Nonlinear Dynamical Analysis of the EEG: Proceedings of the Second Annual Conference

Principles of chaos, M. Gorman survey of current methods of dynamical analysis of the EEG, A. Babloyantz reliability of dynamical measures of EEG signals, A. Albano quantification of hidden time dependencies, L. Iasemidis prediction of chaotic time series with neural nets, J. Principe usefulness of dynamical EEG analysis, I. Dvorak dimensional complexity of EEG and MEG in Alzheimer, W. Pritchard self-organization in brain and behaviour, S. Kelso applications to epilepsy - foci localization, F.L. Da Silva biological oscillators, L. Glass phase resetting induced by light flashes, M. Brandt. (Part Contents)