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Coursera - Computational Neuroscience
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e2b6c1ab70df0b511b481d03afc6cab089f89920
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847.0 MB
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2025-01-05
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文档列表
8 - 1 - 1 Neurons as Classifiers and Supervised Learning (2557).mp4
34.3 MB
6 - 3 - 3 The Fascinating World of Recurrent Networks (2535).mp4
33.6 MB
6 - 1 - 1 Modeling Connections between Neurons (2428).mp4
32.6 MB
6 - 1 - 1 Modeling Connections between Neurons (2428)-1.mp4
32.6 MB
1 - 4 - 4 The Electrical Personality of Neurons (2302).mp4
32.4 MB
5 - 5 - Guest Lecture Eric Shea-Brown (2252).mp4
31.8 MB
7 - 1 - 1 Synaptic Plasticity Hebbs Rule and Statistical Learning (2417).mp4
31.8 MB
7 - 3 - 3 Sparse Coding and Predictive Coding (2354).mp4
31.6 MB
8 - 3 - 3 Reinforcement Learning Time for Action (1949).mp4
30.7 MB
1 - 5 - 5 Making Connections Synapses (2159).mp4
29.7 MB
3 - 2 - 2 Population Coding and Bayesian Estimation (2444).mp4
29.6 MB
6 - 2 - 2 Introduction to Network Models (2147).mp4
28.7 MB
8 - 4 - Guest Lecture Eb Fetz on Bidirectional Brain-Computer Interfaces (2006).mp4
28.6 MB
7 - 2 - 2 Introduction to Unsupervised Learning (2206).mp4
28.5 MB
2 - 4 - 4 Neural Encoding Feature Selection (2158).mp4
26.4 MB
4 - 3 - 3 Coding Principles (1909).mp4
24.7 MB
5 - 4 - 4 A Forest of Dendrites (1919).mp4
24.2 MB
2 - 3 - 3 Neural Encoding Simple Models (1740).mp4
23.9 MB
4 - 1 - 1 Information and Entropy (1912).mp4
23.9 MB
1 - 6 - 6 Time to Network Brain Areas and their Function (1706).mp4
23.4 MB
2 - 5 - 5 Neural Encoding Variability (1937).mp4
23.3 MB
3 - 1 - 1 Neural Decoding and Signal Detection Theory (1855).mp4
22.7 MB
4 - 2 - 2 Calculating Information in Spike Trains (1725).mp4
22.1 MB
5 - 3 - 3 Simplified Model Neurons (1840).mp4
21.2 MB
3 - 4 - Guest Lecture Fred Rieke (1401).mp4
18.3 MB
8 - 2 - 2 Reinforcement Learning Predicting Rewards (1301).mp4
17.2 MB
1 - 3 - 3 Computational Neuroscience Mechanistic and Interpretive Models (1235).mp4
16.7 MB
5 - 2 - 2 Spikes (1409).mp4
16.6 MB
5 - 1 - 1 Modeling Neurons (1352).mp4
16.6 MB
2 - 1 - 1 What is the Neural Code (1120).mp4
16.1 MB
3 - 3 - 3 Reading Minds Stimulus Reconstruction (1159).mp4
15.8 MB
1 - 2 - 2 Computational Neuroscience Descriptive Models (1150).mp4
15.7 MB
2 - 2 - 2 Neural Encoding Tuning Curves (1050).mp4
14.9 MB
1 - 1 - 1 Course Introduction and Logistics (0605).mp4
8.5 MB
Course Materials/6.3slides.pdf
2.8 MB
Course Materials/6.2slides_new.pdf
2.5 MB
Course Materials/6.1slides.pdf
2.2 MB
Course Materials/7.3.pdf
1.8 MB
Course Materials/lecture_slides_8.1.pdf
1.7 MB
Course Materials/7.2.pdf
1.5 MB
Course Materials/7.1.pdf
1.5 MB
Course Materials/lecture_slides_8.2.pdf
885.8 kB
Course Materials/1.5.pdf
725.0 kB
Course Materials/1.4.pdf
720.9 kB
Course Materials/1.2.pdf
619.5 kB
Course Materials/1.6.pdf
575.8 kB
Course Materials/1.3.pdf
453.1 kB
Course Materials/1.1.pdf
346.2 kB
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