1. Testing for nonlinearity in time series: the method of surrogate data;Theiler;Physica D,1992
2. Chaos and physiology: deterministic chaos in excitable cell assemblies;Elbert;Physiol. Rev.,1994
3. Distinguishing between low-dimensional dynamics and randomness in measured time series;Provenzale;Physica D,1992
4. M.J. van der Heyden, Neural networks and statistics: a brief overview, in: M.J. van der Heyden, J. Mrsic-Flogel, K. Weigl (Eds.), HELNET International Workshop on Neural Networks, HELNET'95, Montelimar, France, 1995, p. 1
5. D.T. Kaplan, Nonlinearity and nonstationarity: the use of surrogate data in interpreting fluctuations, in: Computer Applications of Blood Pressure and Heart Rate Signals, Florence, Italy, May 1995, p. 1