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Summary: The Language of Cortical Dynamics
Peter Andras
School of Computing Science
University of Newcastle
Newcastle upon Tyne
NE1 7RU, UK
Abstract. Cortical dynamics can be recorded in various ways. Theo-
retical works suggest that analyzing the dynamics of recorded activities
might reveal the workings of the underlying neural system. Here we de-
scribe the extraction of an activity pattern language that characterizes
the dynamics of high-resolution EEG data recorded. We show that the
language can be formulated in terms of probabilistic continuation rules
which predict reasonably well the dynamics of activity patterns in the
data.
1 Introduction
Cortical dynamics has been analyzed since the availability of appropriate record-
ing machinery and methodology (e.g., EEG, fMRI, etc.). There are several the-
ories that explain some aspects of the observed dynamics [6][8][11].
Recent works have shown that observed cortical dynamics in awake animals
in stimulus free environment resemble very much the cortical activity observed
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