The Language of Cortical Dynamics

  • Peter Andras
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4216)


Cortical dynamics can be recorded in various ways. Theoretical works suggest that analyzing the dynamics of recorded activities might reveal the workings of the underlying neural system. Here we describe 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.


Activity Pattern Data Vector Data Matrice Markovian Approximation Language Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Peter Andras
    • 1
  1. 1.School of Computing ScienceUniversity of NewcastleNewcastle upon TyneUK

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