Langbeschreibung
An excellent series presenting top lecturers from the best institute for complex systems. Topics covered include: stochastic processes; fluid flow; pattern formation; information-based complexity; motor system problems; and the nature of adaptive change.
Inhaltsverzeichnis
Section 1: Courses 1. Modeling Complex Systems: Stochastic Processes, Stochastic Differential Equations, and Fokker-Planck Equations 2. Complexity in Fluids 3. Pattern Formation in Chemical Systems: Roles of Open Reactors 4. Experimental Analysis of Disordered Systems 5. Theory and Applications of Information-Based Complexity 6. Some Learning Tasks from a Control Perspective 7. Moving a Human or Robot Arm with Many Degrees of Freedom: Issues and Ideas 8. Control of Tongue Movement Dynamics 9. Models of Somatotopic Map Organization 10. Sex and Evolution Section 2: Seminars 11. Dynamics of Neural Excitability 12. Linking Structure and Function: Information Processing in the Brain 13. Physiological Studies in Silico 14. Nonlinear Dynamics of Neural Delayed Feedback 15. Functional Self-Organization in Complex Systems 16. Random Grammers: A New Class of Models for Functional Integration and Transformation in the Biological, Neural, and Social Sciences 17. Forecasting Chaotic Computational Ecosystems 18. Singularities for Complex Hyperbolic Equations Section 3: Student Contributions 19. An Overview of the Minimum Description Length Principle 20. Equations of Motion from Data with Hidden Variables 21. Spectral Entropy and Self-Organization 22. Asynchronous Parallel Simulated Annealing 23. Dynamics of a Trapped Ion Driven by Stochastic Optical Processes 24. Undecidability in an Adaptive System 25. Bifurcations and Chaos in a Paradigm Equation for Delayed Mixed Feedback 26. Asymptotic Periodicity in One-Dimensional Maps 27. Theme and Variations: Spin Glasses, Neural Networks, and Prebiotic Evolution