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Coursera - Computational Neuroscience

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  2. File Size：807.78 MB
  3. Creat Time：2015-02-03
  4. Active Degree：696
  5. Last Active：2024-11-21
  6. File Tags：Coursera  Computational  Neuroscience  
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File List:

    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
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