Case Studies in Neural Data Analysis
1. Python for the practicing neuroscientist
2. The Event-Related Potential
3. The Power Spectrum (Part 1)
4. The Power Spectrum (Part 2)
5. Analysis of Coupled Rhythms
6. Filtering Field Data
7. Cross-Frequency Coupling
8. Basic Analysis of Spike Train Data
9. Point Process Generalized Linear Models
10. Analysis of Rhythmic Spike Train Data
11. Spike-Field Coherence
Extra notebooks
12. The integrate and fire neuron
13. The Hodgkin-Huxley model
14. Training a Perceptron
15. Backpropagation
repository
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Index
