neuroscience -移花宫 -武林禁地，闲人禁止入内

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 34.3 MB
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 33.6 MB
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 32.6 MB
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 32.4 MB
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 31.8 MB
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 31.8 MB
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 31.6 MB
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 30.7 MB
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 29.6 MB
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 28.7 MB
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 28.6 MB
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 28.5 MB
04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/03 - 3 Coding Principles (19-09)/4 - 3 - 3 Coding Principles (1909).mp4 24.7 MB
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 24.2 MB
04 - Week 4 Information Theory Neural Coding (Adrienne Fairhall)/01 - 1 Information and Entropy (19-12)/4 - 1 - 1 Information and Entropy (1912).mp4 23.9 MB
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 23.4 MB
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 22.7 MB
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 22.1 MB
05 - Week 5 Computing in Carbon (Adrienne Fairhall)/03 - 3 Simplified Model Neurons (18-40)/5 - 3 - 3 Simplified Model Neurons (1840).mp4 21.2 MB
01 - Week 1 Introduction Basic Neurobiology (Rajesh Rao)/05 - 5 Making Connections Synapses (21-59)/1 - 5 - 5 Making Connections Synapses (2159).mp4 19.2 MB

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Neuroscience 4th edition.zip

Neuroscience 4th edition.zip 2.1 GB

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Essential Neuroscience, 3E- Siegel [PDF] [StormRG]

Cover.jpg 205.1 kB
Essential Neuroscience, Third Edition - Siegel, Allan.pdf 47.1 MB

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Network Neuroscience.pdf

Network Neuroscience.pdf 50.7 MB

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Lynda.com - The Neuroscience of Learning (2014 RUS)

00. Введение/0_01. Вступление. Мышление роста.mp4 20.0 MB
01. Трёхфазная модель - фаза Обучение/1_01. Таксономия Блума и модель Колба.mp4 10.4 MB
01. Трёхфазная модель - фаза Обучение/1_02. Роль гиппокампа в обучении.mp4 24.8 MB
02. Трёхфазная модель - фаза Запоминание/2_01. Пять взаимосвязей для обучения.mp4 45.5 MB
02. Трёхфазная модель - фаза Запоминание/2_02. Использование позитивных чувств и эмоций.mp4 14.6 MB
02. Трёхфазная модель - фаза Запоминание/2_03. Восстановительные сессии и сон.mp4 28.2 MB
02. Трёхфазная модель - фаза Запоминание/2_04. Сила трёх и вовлечённость.mp4 10.6 MB
03. Трёхфазная модель - фаза Действие/3_01. Использование вознаграждений и поощрений.mp4 14.9 MB
03. Трёхфазная модель - фаза Действие/3_02. Создание привычек для изменения поведения.mp4 15.4 MB
03. Трёхфазная модель - фаза Действие/3_03. Создание привычек и увеличение нейронных связей.mp4 12.8 MB
04. Заключение. Вопросы и ответы/4_01. Вопросы и комментарии.mp4 52.7 MB
Ex_Files_Neuroscience.zip 7.9 MB
Subtitles_EN.zip 51.6 kB

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