| Coursera - Computational Neuroscience/8 - 1 - 1 Neurons as Classifiers and Supervised Learning (2557).mp4 |
32.7 MB |
| Coursera - Computational Neuroscience/6 - 3 - 3 The Fascinating World of Recurrent Networks (2535).mp4 |
32.1 MB |
| Coursera - Computational Neuroscience/6 - 1 - 1 Modeling Connections between Neurons (2428).mp4 |
31.1 MB |
| Coursera - Computational Neuroscience/6 - 1 - 1 Modeling Connections between Neurons (2428)-1.mp4 |
31.1 MB |
| Coursera - Computational Neuroscience/1 - 4 - 4 The Electrical Personality of Neurons (2302).mp4 |
30.9 MB |
| Coursera - Computational Neuroscience/5 - 5 - Guest Lecture Eric Shea-Brown (2252).mp4 |
30.3 MB |
| Coursera - Computational Neuroscience/7 - 1 - 1 Synaptic Plasticity Hebbs Rule and Statistical Learning (2417).mp4 |
30.3 MB |
| Coursera - Computational Neuroscience/7 - 3 - 3 Sparse Coding and Predictive Coding (2354).mp4 |
30.1 MB |
| Coursera - Computational Neuroscience/8 - 3 - 3 Reinforcement Learning Time for Action (1949).mp4 |
29.3 MB |
| Coursera - Computational Neuroscience/1 - 5 - 5 Making Connections Synapses (2159).mp4 |
28.3 MB |
| Coursera - Computational Neuroscience/3 - 2 - 2 Population Coding and Bayesian Estimation (2444).mp4 |
28.2 MB |
| Coursera - Computational Neuroscience/6 - 2 - 2 Introduction to Network Models (2147).mp4 |
27.4 MB |
| Coursera - Computational Neuroscience/8 - 4 - Guest Lecture Eb Fetz on Bidirectional Brain-Computer Interfaces (2006).mp4 |
27.3 MB |
| Coursera - Computational Neuroscience/7 - 2 - 2 Introduction to Unsupervised Learning (2206).mp4 |
27.2 MB |
| Coursera - Computational Neuroscience/2 - 4 - 4 Neural Encoding Feature Selection (2158).mp4 |
25.2 MB |
| Coursera - Computational Neuroscience/4 - 3 - 3 Coding Principles (1909).mp4 |
23.5 MB |
| Coursera - Computational Neuroscience/5 - 4 - 4 A Forest of Dendrites (1919).mp4 |
23 MB |
| Coursera - Computational Neuroscience/2 - 3 - 3 Neural Encoding Simple Models (1740).mp4 |
22.8 MB |
| Coursera - Computational Neuroscience/4 - 1 - 1 Information and Entropy (1912).mp4 |
22.8 MB |
| Coursera - Computational Neuroscience/1 - 6 - 6 Time to Network Brain Areas and their Function (1706).mp4 |
22.4 MB |
| Coursera - Computational Neuroscience/2 - 5 - 5 Neural Encoding Variability (1937).mp4 |
22.2 MB |
| Coursera - Computational Neuroscience/3 - 1 - 1 Neural Decoding and Signal Detection Theory (1855).mp4 |
21.6 MB |
| Coursera - Computational Neuroscience/4 - 2 - 2 Calculating Information in Spike Trains (1725).mp4 |
21.1 MB |
| Coursera - Computational Neuroscience/5 - 3 - 3 Simplified Model Neurons (1840).mp4 |
20.2 MB |
| Coursera - Computational Neuroscience/3 - 4 - Guest Lecture Fred Rieke (1401).mp4 |
17.4 MB |
| Coursera - Computational Neuroscience/8 - 2 - 2 Reinforcement Learning Predicting Rewards (1301).mp4 |
16.4 MB |
| Coursera - Computational Neuroscience/1 - 3 - 3 Computational Neuroscience Mechanistic and Interpretive Models (1235).mp4 |
15.9 MB |
| Coursera - Computational Neuroscience/5 - 2 - 2 Spikes (1409).mp4 |
15.9 MB |
| Coursera - Computational Neuroscience/5 - 1 - 1 Modeling Neurons (1352).mp4 |
15.9 MB |
| Coursera - Computational Neuroscience/2 - 1 - 1 What is the Neural Code (1120).mp4 |
15.4 MB |
| Coursera - Computational Neuroscience/3 - 3 - 3 Reading Minds Stimulus Reconstruction (1159).mp4 |
15.1 MB |
| Coursera - Computational Neuroscience/1 - 2 - 2 Computational Neuroscience Descriptive Models (1150).mp4 |
14.9 MB |
| Coursera - Computational Neuroscience/2 - 2 - 2 Neural Encoding Tuning Curves (1050).mp4 |
14.3 MB |
| Coursera - Computational Neuroscience/1 - 1 - 1 Course Introduction and Logistics (0605).mp4 |
8.1 MB |
| Coursera - Computational Neuroscience/Course Materials/6.3slides.pdf |
2.6 MB |
| Coursera - Computational Neuroscience/Course Materials/6.2slides_new.pdf |
2.4 MB |
| Coursera - Computational Neuroscience/Course Materials/6.1slides.pdf |
2.1 MB |
| Coursera - Computational Neuroscience/Course Materials/7.3.pdf |
1.7 MB |
| Coursera - Computational Neuroscience/Course Materials/lecture_slides_8.1.pdf |
1.6 MB |
| Coursera - Computational Neuroscience/Course Materials/7.2.pdf |
1.5 MB |
| Coursera - Computational Neuroscience/Course Materials/7.1.pdf |
1.4 MB |
| Coursera - Computational Neuroscience/Course Materials/lecture_slides_8.2.pdf |
865 KB |
| Coursera - Computational Neuroscience/Course Materials/1.5.pdf |
708 KB |
| Coursera - Computational Neuroscience/Course Materials/1.4.pdf |
704 KB |
| Coursera - Computational Neuroscience/Course Materials/1.2.pdf |
605 KB |
| Coursera - Computational Neuroscience/Course Materials/1.6.pdf |
562 KB |
| Coursera - Computational Neuroscience/Course Materials/1.3.pdf |
443 KB |
| Coursera - Computational Neuroscience/Course Materials/1.1.pdf |
338 KB |
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