Brain and Cognitive Sciences
Introduction to Neural Computation
1. Overview and Ionic Currents
2. RC Circuit and Nernst Potential
3. Nernst Potential and Integrate and Fire Models
4. Hodgkin-Huxley Model Part 1
5. Hodgkin-Huxley Model Part 2
8. Spike Trains
9. Receptive Fields
10. Time Series
11. Spectral Analysis Part 1
12. Spectral Analysis Part 2
13. Spectral Analysis Part 3
14. Rate Models and Perceptrons
15. Matrix Operations
16. Basis Sets
17. Principal Components Analysis
18. Recurrent Networks
19. Neural Integrators
20. Hopfield Networks
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