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levels

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1. Introduction

2. Computational neuroscience and you

3. Basic neuroscience

3-1 3-2 3-3 3-4

4. Computer Representations

4-1 _ 4-2 _

5. The soul of an old machine

Prog 1. Prog 2. Prog 3. Prog 4. Prog 5. Prog 6.

6. Concept neurons

6-1. 6-2. _ 6-3. _ 6-4. _ 6-5. _ 6-6. _ 6-7. _

7. Neural coding

7-1. _ 7-2. _ 7-3. _ 7-4. _

8. Our friend the Limulus

8-1. _ 8-2. _ 8-3. _ 8-4. _

8-5. _ 8-6. _ 8-7. _ 8-8.

_ 8-9. _ 8-10. _ 8-11. _

9. Supervised learning : the delta rule and back-propagation

9-1.

_ 9-2. _ 9-3. _ 9-4.

_ 9-5. _ 9-6.

_ 9-7. _ 9-8. _ 9-9. _

10. Associative memory networks

10-1. _ 10-2. _ 10-3. _ 10-4. _

11. From soap to volts

11-1. _ 11-2. _ 11-3. _ 11-4. _ 11-5. _ 11-6. _ 11-7. _ 11-8. _ 11-9. _ 11-10. _ 11-11. _ 11-12. _ 11-13. _ 11-14. _

12. Hodgkin-Huxley model

12-1. _ 12-2. _ 12-3. _ 12-4. _ 12-5. _ 12-6. _ 12-7. _ 12-8. _ 12-9. _ 12-10. _ 12-11. _

13. Compartment modeling

13-1. _ 13-2. _ 13-3. _ 13-4. _ 13-5. _ 13-6. _ 13-7. _ 13-8. _

14. From artificial neworks to real

14-1. _ 14-2. _ 14-3. _ 14-4. _

15. Neural circuits

15-1. _ 15-2. _ 15-3. _ 15-4. _ 15-5. _

16.4 Linear algebra

16-1. _

16.6 Electrical engineering

16-2. _ 16-3. _ 16-4. _ 16-5. _

last updated: Jul 21, 2009 1555

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