[Coursera] Computational Neuroscience torrent, magnet, bt

Latest Search: 1.v51 2.표정도 3.slipstream 1989 4.Ihr 5.Daylight

[Coursera] Computational Neuroscience

magnet:?xt=urn:btih:09415640A0C9125D10FE6A67AA9C88A84286AEFA&dn=%5BCoursera%5D%20Computational%20Neuroscience

QR Code Copy to Clipboard Open with BT Client

Torrent Hash:

09415640A0C9125D10FE6A67AA9C88A84286AEFA

Number of Files:

128

Content Size:

780.14MB

Convert On:

2019-07-10

Keywords:

Coursera Computational Neuroscience

Magnet Link:

magnet:?xt=urn:btih:09415640A0C9125D10FE6A67AA9C88A84286AEFA&dn=%5BCoursera%5D%20Computational%20Neuroscience

Link:

//btsow.motorcycles/magnet/detail/hash/09415640A0C9125D10FE6A67AA9C88A84286AEFA

Download

Play Now

File Name

Size

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/01 - 1 Neurons as Classifiers and Supervised Learning (25-57)/8 - 1 - 1 Neurons as Classifiers and Supervised Learning (2557).mp4

32.69MB

06 - Week 6 Computing with Networks (Rajesh Rao)/03 - 3 The Fascinating World of Recurrent Networks (25-35)/6 - 3 - 3 The Fascinating World of Recurrent Networks (2535).mp4

32.05MB

06 - Week 6 Computing with Networks (Rajesh Rao)/01 - 1 Modeling Connections between Neurons (24-28)/6 - 1 - 1 Modeling Connections between Neurons (2428).mp4

31.06MB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/04 - 4 The Electrical Personality of Neurons (23-02)/1 - 4 - 4 The Electrical Personality of Neurons (2302).mp4

30.88MB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/05 - Guest Lecture Eric Shea-Brown (22-52)/5 - 5 - Guest Lecture Eric Shea-Brown (2252).mp4

30.33MB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/01 - 1 Synaptic Plasticity, Hebbs Rule, and Statistical Learning (24-17)/7 - 1 - 1 Synaptic Plasticity, Hebbs Rule, and Statistical Learning (2417).mp4

30.32MB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/03 - 3 Sparse Coding and Predictive Coding (23-54)/7 - 3 - 3 Sparse Coding and Predictive Coding (2354).mp4

30.1MB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/03 - 3 Reinforcement Learning Time for Action (19-49)/8 - 3 - 3 Reinforcement Learning Time for Action (1949).mp4

29.27MB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/02 - 2 Population Coding and Bayesian Estimation (24-44)/3 - 2 - 2 Population Coding and Bayesian Estimation (2444).mp4

28.23MB

06 - Week 6 Computing with Networks (Rajesh Rao)/02 - 2 Introduction to Network Models (21-47)/6 - 2 - 2 Introduction to Network Models (2147).mp4

27.4MB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/04 - Guest Lecture Eb Fetz on Bidirectional Brain-Computer Interfaces (20-06)/8 - 4 - Guest Lecture Eb Fetz on Bidirectional Brain-Computer Interfaces (2006).mp4

27.31MB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/02 - 2 Introduction to Unsupervised Learning (22-06)/7 - 2 - 2 Introduction to Unsupervised Learning (2206).mp4

27.21MB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/03 - 3 Coding Principles (19-09)/4 - 3 - 3 Coding Principles (1909).mp4

23.53MB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/04 - 4 A Forest of Dendrites (19-19)/5 - 4 - 4 A Forest of Dendrites (1919).mp4

23.04MB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/01 - 1 Information and Entropy (19-12)/4 - 1 - 1 Information and Entropy (1912).mp4

22.8MB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/06 - 6 Time to Network Brain Areas and their Function (17-06)/1 - 6 - 6 Time to Network Brain Areas and their Function (1706).mp4

22.35MB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/01 - 1 Neural Decoding and Signal Detection Theory (18-55)/3 - 1 - 1 Neural Decoding and Signal Detection Theory (1855).mp4

21.61MB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/02 - 2 Calculating Information in Spike Trains (17-25)/4 - 2 - 2 Calculating Information in Spike Trains (1725).mp4

21.1MB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/03 - 3 Simplified Model Neurons (18-40)/5 - 3 - 3 Simplified Model Neurons (1840).mp4

20.25MB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/05 - 5 Making Connections Synapses (21-59)/1 - 5 - 5 Making Connections Synapses (2159).mp4

18.35MB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/04 - Guest Lecture Fred Rieke (14-01)/3 - 4 - Guest Lecture Fred Rieke (1401).mp4

17.42MB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/04 - 4 Neural Encoding Variability (23-52)/2 - 4 - 4 Neural Encoding Variability (2352).mp4

17.27MB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/02 - 2 Reinforcement Learning Predicting Rewards (13-01)/8 - 2 - 2 Reinforcement Learning Predicting Rewards (1301).mp4

16.37MB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/03 - 3 Neural Encoding Feature Selection (22-13)/2 - 3 - 3 Neural Encoding Feature Selection (2213).mp4

15.91MB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/03 - 3 Computational Neuroscience Mechanistic and Interpretive Models (12-35)/1 - 3 - 3 Computational Neuroscience Mechanistic and Interpretive Models (1235).mp4

15.89MB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/02 - 2 Spikes (14-09)/5 - 2 - 2 Spikes (1409).mp4

15.88MB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/01 - 1 Modeling Neurons (13-52)/5 - 1 - 1 Modeling Neurons (1352).mp4

15.86MB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/03 - 3 Reading Minds Stimulus Reconstruction (11-59)/3 - 3 - 3 Reading Minds Stimulus Reconstruction (1159).mp4

15.1MB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/01 - 1 What is the Neural Code (19-18)/2 - 1 - 1 What is the Neural Code (1918).mp4

15.05MB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/02 - 2 Computational Neuroscience Descriptive Models (11-50)/1 - 2 - 2 Computational Neuroscience Descriptive Models (1150).mp4

14.95MB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/01 - 1 Information and Entropy (19-12)/Lecture 4 part 1.pdf

8.5MB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/01 - 1 Modeling Neurons (13-52)/Lecture 5 Part 1.pdf

8.3MB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/02 - 2 Neural Encoding Simple Models (12-06)/2 - 2 - 2 Neural Encoding Simple Models (1206).mp4

8.19MB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/01 - 1 Course Introduction and Logistics (06-05)/1 - 1 - 1 Course Introduction and Logistics (0605).mp4

8.08MB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/03 - 3 Coding Principles (19-09)/Lecture 4 part 3.pdf

7.14MB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/04 - 4 A Forest of Dendrites (19-19)/Lecture 5 Part 3.pdf

4.1MB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/03 - 3 Reading Minds Stimulus Reconstruction (11-59)/Lecture 3 part 3.pdf

3.86MB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/03 - 3 Simplified Model Neurons (18-40)/Lecture 5 Part 2.pdf

3.69MB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/02 - 2 Population Coding and Bayesian Estimation (24-44)/Lecture 3 part 2.pdf

3.66MB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/02 - 2 Calculating Information in Spike Trains (17-25)/Lecture 4 part 2.pdf

3.38MB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/01 - 1 Neural Decoding and Signal Detection Theory (18-55)/Lecture 3 part 1.pdf

3.34MB

06 - Week 6 Computing with Networks (Rajesh Rao)/03 - 3 The Fascinating World of Recurrent Networks (25-35)/6.3slides.pdf

2.63MB

06 - Week 6 Computing with Networks (Rajesh Rao)/02 - 2 Introduction to Network Models (21-47)/6.2slides_new.pdf

2.36MB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/02 - 2 Neural Encoding Simple Models (12-06)/Lecture 2 part 2.pdf

2.23MB

06 - Week 6 Computing with Networks (Rajesh Rao)/01 - 1 Modeling Connections between Neurons (24-28)/6.1slides.pdf

2.14MB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/04 - 4 Neural Encoding Variability (23-52)/Lecture 2 part 4.pdf

2.13MB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/01 - 1 What is the Neural Code (19-18)/Lecture 2 part 1.pdf

2.09MB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/03 - 3 Neural Encoding Feature Selection (22-13)/Lecture 2 part 3.pdf

1.84MB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/03 - 3 Sparse Coding and Predictive Coding (23-54)/7.3.pdf

1.73MB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/01 - 1 Neurons as Classifiers and Supervised Learning (25-57)/8.1.pdf

1.65MB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/02 - 2 Introduction to Unsupervised Learning (22-06)/7.2.pdf

1.47MB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/01 - 1 Synaptic Plasticity, Hebbs Rule, and Statistical Learning (24-17)/7.1.pdf

1.39MB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/03 - 3 Reinforcement Learning Time for Action (19-49)/8.3.pdf

1.09MB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/02 - 2 Reinforcement Learning Predicting Rewards (13-01)/8.2.pdf

865.04KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/04 - 4 The Electrical Personality of Neurons (23-02)/1.4.pdf

704.03KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/05 - 5 Making Connections Synapses (21-59)/1.5-2014.pdf

703.67KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/02 - 2 Computational Neuroscience Descriptive Models (11-50)/1.2.pdf

605.01KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/06 - 6 Time to Network Brain Areas and their Function (17-06)/1.6.pdf

562.34KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/03 - 3 Computational Neuroscience Mechanistic and Interpretive Models (12-35)/1.3.pdf

442.51KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/01 - 1 Course Introduction and Logistics (06-05)/1.1.pdf

338.08KB

lectures.html

80.9KB

index.html

42.32KB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/04 - 4 Neural Encoding Variability (23-52)/2 - 4 - 4 Neural Encoding Variability (2352).srt

36.22KB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/01 - 1 Neurons as Classifiers and Supervised Learning (25-57)/8 - 1 - 1 Neurons as Classifiers and Supervised Learning (2557).srt

33.1KB

06 - Week 6 Computing with Networks (Rajesh Rao)/03 - 3 The Fascinating World of Recurrent Networks (25-35)/6 - 3 - 3 The Fascinating World of Recurrent Networks (2535).srt

33KB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/03 - 3 Neural Encoding Feature Selection (22-13)/2 - 3 - 3 Neural Encoding Feature Selection (2213).srt

32.68KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/05 - Guest Lecture Eric Shea-Brown (22-52)/5 - 5 - Guest Lecture Eric Shea-Brown (2252).srt

32.63KB

32.54KB

32.08KB

06 - Week 6 Computing with Networks (Rajesh Rao)/01 - 1 Modeling Connections between Neurons (24-28)/6 - 1 - 1 Modeling Connections between Neurons (2428).srt

31.85KB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/03 - 3 Sparse Coding and Predictive Coding (23-54)/7 - 3 - 3 Sparse Coding and Predictive Coding (2354).srt

31.62KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/04 - 4 The Electrical Personality of Neurons (23-02)/1 - 4 - 4 The Electrical Personality of Neurons (2302).srt

30.21KB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/01 - 1 What is the Neural Code (19-18)/2 - 1 - 1 What is the Neural Code (1918).srt

30.16KB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/02 - 2 Introduction to Unsupervised Learning (22-06)/7 - 2 - 2 Introduction to Unsupervised Learning (2206).srt

29.51KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/05 - 5 Making Connections Synapses (21-59)/1 - 5 - 5 Making Connections Synapses (2159).srt

28.57KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/04 - 4 A Forest of Dendrites (19-19)/5 - 4 - 4 A Forest of Dendrites (1919).srt

28.27KB

06 - Week 6 Computing with Networks (Rajesh Rao)/02 - 2 Introduction to Network Models (21-47)/6 - 2 - 2 Introduction to Network Models (2147).srt

28.05KB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/03 - 3 Coding Principles (19-09)/4 - 3 - 3 Coding Principles (1909).srt

27.54KB

27.24KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/03 - 3 Simplified Model Neurons (18-40)/5 - 3 - 3 Simplified Model Neurons (1840).srt

26.92KB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/01 - 1 Information and Entropy (19-12)/4 - 1 - 1 Information and Entropy (1912).srt

25.34KB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/02 - 2 Calculating Information in Spike Trains (17-25)/4 - 2 - 2 Calculating Information in Spike Trains (1725).srt

24.51KB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/03 - 3 Reinforcement Learning Time for Action (19-49)/8 - 3 - 3 Reinforcement Learning Time for Action (1949).srt

24.29KB

22.88KB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/04 - 4 Neural Encoding Variability (23-52)/2 - 4 - 4 Neural Encoding Variability (2352).txt

22.18KB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/01 - 1 Neurons as Classifiers and Supervised Learning (25-57)/8 - 1 - 1 Neurons as Classifiers and Supervised Learning (2557).txt

22.13KB

06 - Week 6 Computing with Networks (Rajesh Rao)/03 - 3 The Fascinating World of Recurrent Networks (25-35)/6 - 3 - 3 The Fascinating World of Recurrent Networks (2535).txt

21.96KB

21.64KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/05 - Guest Lecture Eric Shea-Brown (22-52)/5 - 5 - Guest Lecture Eric Shea-Brown (2252).txt

21.52KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/06 - 6 Time to Network Brain Areas and their Function (17-06)/1 - 6 - 6 Time to Network Brain Areas and their Function (1706).srt

21.43KB

21.42KB

06 - Week 6 Computing with Networks (Rajesh Rao)/01 - 1 Modeling Connections between Neurons (24-28)/6 - 1 - 1 Modeling Connections between Neurons (2428).txt

21.23KB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/03 - 3 Sparse Coding and Predictive Coding (23-54)/7 - 3 - 3 Sparse Coding and Predictive Coding (2354).txt

21.16KB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/04 - Guest Lecture Fred Rieke (14-01)/3 - 4 - Guest Lecture Fred Rieke (1401).srt

20.82KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/04 - 4 The Electrical Personality of Neurons (23-02)/1 - 4 - 4 The Electrical Personality of Neurons (2302).txt

19.96KB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/03 - 3 Neural Encoding Feature Selection (22-13)/2 - 3 - 3 Neural Encoding Feature Selection (2213).txt

19.76KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/01 - 1 Modeling Neurons (13-52)/5 - 1 - 1 Modeling Neurons (1352).srt

19.75KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/02 - 2 Spikes (14-09)/5 - 2 - 2 Spikes (1409).srt

19.73KB

07 - Week 7 Networks that Learn Plasticity in the Brain Learning (Rajesh Rao)/02 - 2 Introduction to Unsupervised Learning (22-06)/7 - 2 - 2 Introduction to Unsupervised Learning (2206).txt

19.7KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/04 - 4 A Forest of Dendrites (19-19)/5 - 4 - 4 A Forest of Dendrites (1919).txt

18.95KB

06 - Week 6 Computing with Networks (Rajesh Rao)/02 - 2 Introduction to Network Models (21-47)/6 - 2 - 2 Introduction to Network Models (2147).txt

18.82KB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/01 - 1 What is the Neural Code (19-18)/2 - 1 - 1 What is the Neural Code (1918).txt

18.61KB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/03 - 3 Coding Principles (19-09)/4 - 3 - 3 Coding Principles (1909).txt

18.24KB

18.05KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/03 - 3 Simplified Model Neurons (18-40)/5 - 3 - 3 Simplified Model Neurons (1840).txt

17.9KB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/02 - 2 Neural Encoding Simple Models (12-06)/2 - 2 - 2 Neural Encoding Simple Models (1206).srt

17.36KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/05 - 5 Making Connections Synapses (21-59)/1 - 5 - 5 Making Connections Synapses (2159).txt

17.33KB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/02 - 2 Reinforcement Learning Predicting Rewards (13-01)/8 - 2 - 2 Reinforcement Learning Predicting Rewards (1301).srt

16.67KB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/01 - 1 Information and Entropy (19-12)/4 - 1 - 1 Information and Entropy (1912).txt

16.66KB

16.58KB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/03 - 3 Reading Minds Stimulus Reconstruction (11-59)/3 - 3 - 3 Reading Minds Stimulus Reconstruction (1159).srt

16.52KB

04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/02 - 2 Calculating Information in Spike Trains (17-25)/4 - 2 - 2 Calculating Information in Spike Trains (1725).txt

16.38KB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/03 - 3 Reinforcement Learning Time for Action (19-49)/8 - 3 - 3 Reinforcement Learning Time for Action (1949).txt

16.33KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/02 - 2 Computational Neuroscience Descriptive Models (11-50)/1 - 2 - 2 Computational Neuroscience Descriptive Models (1150).srt

15.26KB

15.23KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/06 - 6 Time to Network Brain Areas and their Function (17-06)/1 - 6 - 6 Time to Network Brain Areas and their Function (1706).txt

14.19KB

compneuro-002-about.json

13.89KB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/04 - Guest Lecture Fred Rieke (14-01)/3 - 4 - Guest Lecture Fred Rieke (1401).txt

13.88KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/02 - 2 Spikes (14-09)/5 - 2 - 2 Spikes (1409).txt

13.17KB

05 - Week 5 Computing in Carbon (Adrienne Fairhall)/01 - 1 Modeling Neurons (13-52)/5 - 1 - 1 Modeling Neurons (1352).txt

13.06KB

08 - Week 8 Learning from Supervision and Rewards (Rajesh Rao)/02 - 2 Reinforcement Learning Predicting Rewards (13-01)/8 - 2 - 2 Reinforcement Learning Predicting Rewards (1301).txt

11.18KB

11.05KB

03 - Week 3 Extracting Information from Neurons Neural Decoding (Adrienne Fairhall)/03 - 3 Reading Minds Stimulus Reconstruction (11-59)/3 - 3 - 3 Reading Minds Stimulus Reconstruction (1159).txt

10.99KB

02 - Week 2 What do Neurons Encode Neural Encoding Models (Adrienne Fairhall)/02 - 2 Neural Encoding Simple Models (12-06)/2 - 2 - 2 Neural Encoding Simple Models (1206).txt

10.53KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/02 - 2 Computational Neuroscience Descriptive Models (11-50)/1 - 2 - 2 Computational Neuroscience Descriptive Models (1150).txt

10.17KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/01 - 1 Course Introduction and Logistics (06-05)/1 - 1 - 1 Course Introduction and Logistics (0605).srt

8.92KB

01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/01 - 1 Course Introduction and Logistics (06-05)/1 - 1 - 1 Course Introduction and Logistics (0605).txt

5.97KB

_README.txt

2.36KB

Latest Search:

1.v51 2.표정도 3.slipstream 1989 4.Ihr 5.Daylight 6.4591784 7.386839 8.Northern exposure 9.home alone collection 10.raven swallowz 11.LAFOUINE 12.罪悪感みなぎる低身長ロ●ちっぱいのいいなり系美少女レイヤーピックアップ 13.GUN-463 14.CVDX- 15.MilfsLikeItBig.13.01.02 16.superhero sex 17.MFCW-009 18.Cinderella 2015 19.Payton Preslee 20.FiCTiON 21.メゾン 22.cyberpunk2077 23.girlsdelta 24.OAE-211 25.너무 26.MTALL-040 27.Sky Fighters 2005 28.Sky Pierce 29.HDDVDRip 30.3010896