Research Output
The language of cortical dynamics
  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.

  • Date:

    31 December 2006

  • Publication Status:

    Published

  • DOI:

    10.1007/11875741_24

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Andras, P. (2006). The language of cortical dynamics. In Computational Life Sciences II: Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006. Proceedings (247-256). https://doi.org/10.1007/11875741_24

Authors

Keywords

Activity Pattern, Data Vector, Data Matrice, Markovian Approximation, Language Rule

Monthly Views:

Available Documents