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.
KeywordsActivity Pattern Data Vector Data Matrice Markovian Approximation Language Rule
Unable to display preview. Download preview PDF.
- 10.Kohonen, T.: Self-Organizing Maps. Springer, Heidelberg (1995)Google Scholar
- 13.Seidemann, E., Meilijson, I., Abeles, M., Bergman, H., Vaadia, E.: Simultaneously recorded single units in the frontal cortex go through sequences of discrete and stable states in monkeys performing a delayed localization task. The Journal of Neuroscience 16, 752–768 (1996)Google Scholar