Brain Dynamics

I. Basic Experimental Facts and Theoretical Tools

1. Introduction

2. The Neuron – Building Block of the Brain

3. Neuronal Cooperativity

4. Spikes, Phases, Noise: How to Describe Them Mathematically? We Learn a Few Tricks and Some Important Concepts

II. Spiking in Neural Nets

5. The Lighthouse Model. Two Coupled Neurons

6. The Lighthouse Model. Many Coupled Neurons

7. Integrate and Fire Models (IFM)

8. Many Neurons, General Case, Connection with Integrate and Fire Model

9. Pattern Recognition Versus Synchronization: Pattern Recognition

10. Pattern Recognition Versus Synchronization: Synchronization and Phase Locking

III. Phase Locking, Coordination and Spatio-Temporal Patterns

11. Phase Locking via Sinusoidal Couplings

12. Pulse-Averaged Equations

IV. Conclusion

13. The Single Neuron

14. Conclusion and Outlook

15. Solutions to Exercises

DRM-restrictions

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Nyckelord: SCIENCE / Physics SCI055000