During the last years chaos theory has been repeatedly applied to a
variety of brain electromagnetic signals. Especially in pathological states
like epilepsy nonlinear time series analysis has provided valuable insights
and promises to be important for clinical use. Despite wide interest from
other neuroscience disciplines many potential users of nonlinear time series
analysis are not sufficiently familiar with nonlinear methods of data
analysis. In contrast, scientists developing new concepts and algorithms
for time series analysis often lack the necessary neuroscientific and
medical knowledge.
The main emphasis of this interdisciplinary workshop was to bring
together different physical and neuroscientific expertise to guarantee
successful applications of nonlinear time series methods to
brain dynamics. Lectures given by invited speakers discussed physical,
neuroscientific and medical topics, recent developments, or the data
analysis of particular brain dynamics. Participants presented their own
research fields in poster sessions.
134 people from 10 different countries took part in this workshop.