1. Editorial

   • Stewart Wolf

   EditorialNotes Pages: 203 - 204

2. Localized measures for nonstationary time-series of physiological data

   • Gottfried Mayer-Kress

   Papers Pages: 205 - 210

3. Two tools to test time series data for evidence of chaos and/or nonlinearity

   • James Theiler

   Papers Pages: 211 - 216

4. The point correlation dimension: Performance with nonstationary surrogate data and noise

   • James E. Skinner
   • Mark Molnar
   • Claude Tomberg

   Papers Pages: 217 - 234

5. The fundamentals of controlling chaos

   • Mark L. Spano
   • William L. Ditto

   Papers Pages: 235 - 245

6. Discriminating deterministic versus stochastic dynamics in neuronal activity

   • Steven J. Schiff
   • Tim Sauer
   • Taeun Chang

   Papers Pages: 246 - 261

7. Testing the determinism of EEG and MEG

   • Werner Mühlnickel
   • Nicola Rendtorff
   • Thomas Elbert

   Papers Pages: 262 - 269

8. Changes of chaoticness in spontaneous EEG/MEG

   • Zbigniew J. Kowalik
   • Thomas Elbert

   Papers Pages: 270 - 282

9. Non-equilibrium dynamics as an indispensable characteristic of a healthy biological system

   • Chung-Kang Peng
   • Sergey V. Buldyrev
   • Ary L. Goldberger

   Papers Pages: 283 - 293

10. Characterization of state transitions in spatially distributed, chaotic, nonlinear, dynamical systems in cerebral cortex

    • Walter J. Freeman

    Papers Pages: 294 - 306

11. The Chaos User’s Tool Kit

    • George J. Mpitsos

    Papers Pages: 307 - 310

12. A guide to dynamical analysis

    • Paul E. Rapp

    Papers Pages: 311 - 327

13. Chaos in physiology

    • Otto E. Rossler
    • R. Rossler

    Papers Pages: 328 - 333

14. Postscript

    • James E. Skinner

    Papers Pages: 334 - 337