Coursera - Computational Neuroscience

1. 8 - 1 - 1 Neurons as Classifiers and Supervised Learning (2557).mp4 32.69 MB
2. 6 - 3 - 3 The Fascinating World of Recurrent Networks (2535).mp4 32.05 MB
3. 6 - 1 - 1 Modeling Connections between Neurons (2428).mp4 31.06 MB
4. 6 - 1 - 1 Modeling Connections between Neurons (2428)-1.mp4 31.06 MB
5. 1 - 4 - 4 The Electrical Personality of Neurons (2302).mp4 30.88 MB
6. 5 - 5 - Guest Lecture Eric Shea-Brown (2252).mp4 30.33 MB
7. 7 - 1 - 1 Synaptic Plasticity Hebbs Rule and Statistical Learning (2417).mp4 30.32 MB
8. 7 - 3 - 3 Sparse Coding and Predictive Coding (2354).mp4 30.10 MB
9. 8 - 3 - 3 Reinforcement Learning Time for Action (1949).mp4 29.27 MB
10. 1 - 5 - 5 Making Connections Synapses (2159).mp4 28.28 MB
11. 3 - 2 - 2 Population Coding and Bayesian Estimation (2444).mp4 28.23 MB
12. 6 - 2 - 2 Introduction to Network Models (2147).mp4 27.40 MB
13. 8 - 4 - Guest Lecture Eb Fetz on Bidirectional Brain-Computer Interfaces (2006).mp4 27.31 MB
14. 7 - 2 - 2 Introduction to Unsupervised Learning (2206).mp4 27.21 MB
15. 2 - 4 - 4 Neural Encoding Feature Selection (2158).mp4 25.19 MB
16. 4 - 3 - 3 Coding Principles (1909).mp4 23.53 MB
17. 5 - 4 - 4 A Forest of Dendrites (1919).mp4 23.04 MB
18. 2 - 3 - 3 Neural Encoding Simple Models (1740).mp4 22.83 MB
19. 4 - 1 - 1 Information and Entropy (1912).mp4 22.80 MB
20. 1 - 6 - 6 Time to Network Brain Areas and their Function (1706).mp4 22.35 MB
21. 2 - 5 - 5 Neural Encoding Variability (1937).mp4 22.24 MB
22. 3 - 1 - 1 Neural Decoding and Signal Detection Theory (1855).mp4 21.62 MB
23. 4 - 2 - 2 Calculating Information in Spike Trains (1725).mp4 21.10 MB
24. 5 - 3 - 3 Simplified Model Neurons (1840).mp4 20.25 MB
25. 3 - 4 - Guest Lecture Fred Rieke (1401).mp4 17.42 MB
26. 8 - 2 - 2 Reinforcement Learning Predicting Rewards (1301).mp4 16.37 MB
27. 1 - 3 - 3 Computational Neuroscience Mechanistic and Interpretive Models (1235).mp4 15.89 MB
28. 5 - 2 - 2 Spikes (1409).mp4 15.88 MB
29. 5 - 1 - 1 Modeling Neurons (1352).mp4 15.86 MB
30. 2 - 1 - 1 What is the Neural Code (1120).mp4 15.36 MB
31. 3 - 3 - 3 Reading Minds Stimulus Reconstruction (1159).mp4 15.10 MB
32. 1 - 2 - 2 Computational Neuroscience Descriptive Models (1150).mp4 14.95 MB
33. 2 - 2 - 2 Neural Encoding Tuning Curves (1050).mp4 14.25 MB
34. 1 - 1 - 1 Course Introduction and Logistics (0605).mp4 8.08 MB
35. Course Materials/6.3slides.pdf 2.63 MB
36. Course Materials/6.2slides_new.pdf 2.36 MB
37. Course Materials/6.1slides.pdf 2.14 MB
38. Course Materials/7.3.pdf 1.73 MB
39. Course Materials/lecture_slides_8.1.pdf 1.65 MB
40. Course Materials/7.2.pdf 1.47 MB
41. Course Materials/7.1.pdf 1.40 MB
42. Course Materials/lecture_slides_8.2.pdf 866 KB
43. Course Materials/1.5.pdf 709 KB
44. Course Materials/1.4.pdf 705 KB
45. Course Materials/1.2.pdf 606 KB
46. Course Materials/1.6.pdf 563 KB
47. Course Materials/1.3.pdf 443 KB
48. Course Materials/1.1.pdf 339 KB