Home | CV | Publications | Lectures | Methodology & Tools



The novel methodological framework which we use accounts the main statistical properties of a spontaneous and induced EEG/MEG activity, i.e.:

a) piecewise stationary structure nature of EEG/MEG, where each quasi-stationary segment represents a resonant state;
b) different types of EEG/MEG quasi-stationary segments had different importance to the brain - their occurrence is less or more probable for particular functional state;
c) particular sequence of several EEG/MEG segments appeared in consistent temporal groupings (steady bundle with each other) and thus comprises more integral blocks of EEG/MEG structural organization;
d) changes between quasi-stationary EEG/MEG segments appeared abruptly during rapid transitional processes;
e) (...) these changes coincided between different EEG/MEG locations, thus reflecting the structural (operational) synchrony process;
f) (...) in the result of this synchrony the metastable brain states are emerged.

The methodology above is described in detail throughout several scientific publications (found under the publications page), and at the present date and due to their extensive detail and coverage we have not gone through the effort of bring all into a single concise document or description.

Suggested reading on the matter: 18, 23, 24, 26, 28, 33, 34.


The advanced new methodology for EEG signal analysis is supported by a large and versatile tool-set in which one tool complements, supports or extends the features of the other.

Copyright note:

The usage of all the tools mentioned above by third parties other than its co-developers and co-authors (alone or collectively) either for commercial or non-commercial purposes requires the consent of the co-authors and co-developers.

Note on references to version numbers of the above mentioned tools:

In numerous sources, the above mentioned tools were referred to in an imprecise manner with non-matching version numbers while referring to a same version. In all publications and research work of Dr(s) Fingelkurts, all references of these correspond to final versions (also known as - conventionally in software engineering) as version 1.0.(or greater). The earlier versions of software development (i.e. bug-fixing and draft version) are to be disregarded as they were never used in final scientific work.

©2002 - Dr. Alexander & Dr. Andrew Fingelkurts