課程信息
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初級

完成時間大約為31 小時

英語(English)

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您將獲得的技能

Computational NeuroscienceArtificial Neural NetworkReinforcement LearningBiological Neuron Model

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為31 小時

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 4 小時

Introduction & Basic Neurobiology (Rajesh Rao)

This module includes an Introduction to Computational Neuroscience, along with a primer on Basic Neurobiology.

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6 個視頻 (總計 89 分鐘), 6 個閱讀材料, 2 個測驗
6 個視頻
1.4 The Electrical Personality of Neurons23分鐘
1.5 Making Connections: Synapses20分鐘
1.6 Time to Network: Brain Areas and their Function17分鐘
6 個閱讀材料
Welcome Message & Course Logistics10分鐘
About the Course Staff10分鐘
Syllabus and Schedule10分鐘
Matlab & Octave Information and Tutorials10分鐘
Python Information and Tutorials10分鐘
Week 1 Lecture Notes10分鐘
2 個練習
Matlab/Octave Programming1小時
Python Programming1小時
2
完成時間為 4 小時

What do Neurons Encode? Neural Encoding Models (Adrienne Fairhall)

This module introduces you to the captivating world of neural information coding. You will learn about the technologies that are used to record brain activity. We will then develop some mathematical formulations that allow us to characterize spikes from neurons as a code, at increasing levels of detail. Finally we investigate variability and noise in the brain, and how our models can accommodate them.

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8 個視頻 (總計 167 分鐘), 3 個閱讀材料, 1 個測驗
8 個視頻
2.4 Neural Encoding: Variability23分鐘
Vectors and Functions (by Rich Pang)30分鐘
Convolutions and Linear Systems (by Rich Pang)16分鐘
Change of Basis and PCA (by Rich Pang)18分鐘
Welcome to the Eigenworld! (by Rich Pang)24分鐘
3 個閱讀材料
Welcome Message10分鐘
Week 2 Lecture Notes and Tutorials10分鐘
IMPORTANT: Quiz Instructions10分鐘
1 個練習
Spike Triggered Averages: A Glimpse Into Neural Encoding1小時
3
完成時間為 3 小時

Extracting Information from Neurons: Neural Decoding (Adrienne Fairhall)

In this module, we turn the question of neural encoding around and ask: can we estimate what the brain is seeing, intending, or experiencing just from its neural activity? This is the problem of neural decoding and it is playing an increasingly important role in applications such as neuroprosthetics and brain-computer interfaces, where the interface must decode a person's movement intentions from neural activity. As a bonus for this module, you get to enjoy a guest lecture by well-known computational neuroscientist Fred Rieke.

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6 個視頻 (總計 114 分鐘), 2 個閱讀材料, 1 個測驗
6 個視頻
Fred Rieke on Visual Processing in the Retina14分鐘
Gaussians in One Dimension (by Rich Pang)30分鐘
Probability distributions in 2D and Bayes' Rule (by Rich Pang)13分鐘
2 個閱讀材料
Welcome Message10分鐘
Week 3 Lecture Notes and Supplementary Material10分鐘
1 個練習
Neural Decoding30分鐘
4
完成時間為 3 小時

Information Theory & Neural Coding (Adrienne Fairhall)

This module will unravel the intimate connections between the venerable field of information theory and that equally venerable object called our brain.

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5 個視頻 (總計 98 分鐘), 2 個閱讀材料, 1 個測驗
5 個視頻
What's up with entropy? (by Rich Pang)25分鐘
Information theory? That's crazy! (by Rich Pang)16分鐘
2 個閱讀材料
Welcome Message10分鐘
Week 4 Lecture Notes and Supplementary Material10分鐘
1 個練習
Information Theory & Neural Coding1小時
4.7
112 個審閱Chevron Right

20%

通過此課程獲得實實在在的工作福利

來自计算神经科学的熱門評論

創建者 JRApr 8th 2018

Extremely enlightening course on how Neuron's work and the science of computational neuroscience. Even if you don't want to get into the complex mathematics you can get a lot out of the course

創建者 CMJun 15th 2017

This course is an excellent introduction to the field of computational neuroscience, with engaging lectures and interesting assignments that make learning the material easy.

講師

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Rajesh P. N. Rao

Professor
Computer Science & Engineering
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Adrienne Fairhall

Associate Professor
Physiology and Biophysics

關於 华盛顿大学

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world....

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