课程信息
4.6
451 个评分
98 个审阅
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为31 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

Computational NeuroscienceArtificial Neural NetworkReinforcement LearningBiological Neuron Model
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为31 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 4 小时

Introduction & Basic Neurobiology (Rajesh Rao)

This module includes an Introduction to Computational Neuroscience, along with a primer on Basic Neurobiology. ...
Reading
6 个视频 (总计 89 分钟), 6 个阅读材料, 2 个测验
Video6 个视频
1.2 Computational Neuroscience: Descriptive Models11分钟
1.3 Computational Neuroscience: Mechanistic and Interpretive Models12分钟
1.4 The Electrical Personality of Neurons23分钟
1.5 Making Connections: Synapses20分钟
1.6 Time to Network: Brain Areas and their Function17分钟
Reading6 个阅读材料
Welcome Message & Course Logistics10分钟
About the Course Staff10分钟
Syllabus and Schedule10分钟
Matlab & Octave Information and Tutorials10分钟
Python Information and Tutorials10分钟
Week 1 Lecture Notes10分钟
Quiz2 个练习
Matlab/Octave Programmings
Python Programmings
2
完成时间(小时)
完成时间为 4 小时

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....
Reading
8 个视频 (总计 167 分钟), 3 个阅读材料, 1 个测验
Video8 个视频
2.2 Neural Encoding: Simple Models12分钟
2.3 Neural Encoding: Feature Selection22分钟
2.4 Neural Encoding: Variability23分钟
Vectors and Functions (by Rich Pang)30分钟
Convolutions and Linear Systems (by Rich Pang)16分钟
Change of Basis and PCA (by Rich Pang)18分钟
Welcome to the Eigenworld! (by Rich Pang)24分钟
Reading3 个阅读材料
Welcome Message10分钟
Week 2 Lecture Notes and Tutorials10分钟
IMPORTANT: Quiz Instructions10分钟
Quiz1 个练习
Spike Triggered Averages: A Glimpse Into Neural Encodings
3
完成时间(小时)
完成时间为 3 小时

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. ...
Reading
6 个视频 (总计 114 分钟), 2 个阅读材料, 1 个测验
Video6 个视频
3.2 Population Coding and Bayesian Estimation24分钟
3.3 Reading Minds: Stimulus Reconstruction11分钟
Fred Rieke on Visual Processing in the Retina14分钟
Gaussians in One Dimension (by Rich Pang)30分钟
Probability distributions in 2D and Bayes' Rule (by Rich Pang)13分钟
Reading2 个阅读材料
Welcome Message10分钟
Week 3 Lecture Notes and Supplementary Material10分钟
Quiz1 个练习
Neural Decoding30分钟
4
完成时间(小时)
完成时间为 3 小时

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....
Reading
5 个视频 (总计 98 分钟), 2 个阅读材料, 1 个测验
Video5 个视频
4.2 Calculating Information in Spike Trains17分钟
4.3 Coding Principles19分钟
What's up with entropy? (by Rich Pang)25分钟
Information theory? That's crazy! (by Rich Pang)16分钟
Reading2 个阅读材料
Welcome Message10分钟
Week 4 Lecture Notes and Supplementary Material10分钟
Quiz1 个练习
Information Theory & Neural Codings
4.6
98 个审阅Chevron Right

热门审阅

创建者 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.

创建者 ATMay 27th 2018

This is a wonderful start for a biologist , to get idea of concepts of learning . An advanced course focused more on brain circuitry is suggested.\n\nThanks a lot

讲师

Avatar

Rajesh P. N. Rao

Professor
Computer Science & Engineering
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Adrienne Fairhall

Associate Professor
Physiology and Biophysics

关于 University of Washington

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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