This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. The course is primarily aimed at third- or fourth-year undergraduates and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information.
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计算神经科学
华盛顿大学课程信息
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初级
完成时间大约为26 小时
英语(English)
对员工进行热门技能培训能否为您的公司带来益处?
体验 Coursera 企业版您将获得的技能
- Computational Neuroscience
- Artificial Neural Network
- Reinforcement Learning
- Biological Neuron Model
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
初级
完成时间大约为26 小时
英语(English)
对员工进行热门技能培训能否为您的公司带来益处?
体验 Coursera 企业版提供方
授课大纲 - 您将从这门课程中学到什么
完成时间为 4 小时
Introduction & Basic Neurobiology (Rajesh Rao)
完成时间为 4 小时
6 个视频 (总计 89 分钟), 6 个阅读材料, 2 个测验
完成时间为 4 小时
What do Neurons Encode? Neural Encoding Models (Adrienne Fairhall)
完成时间为 4 小时
8 个视频 (总计 167 分钟), 3 个阅读材料, 1 个测验
完成时间为 3 小时
Extracting Information from Neurons: Neural Decoding (Adrienne Fairhall)
完成时间为 3 小时
6 个视频 (总计 114 分钟), 2 个阅读材料, 1 个测验
完成时间为 3 小时
Information Theory & Neural Coding (Adrienne Fairhall)
完成时间为 3 小时
5 个视频 (总计 98 分钟), 2 个阅读材料, 1 个测验
审阅
- 5 stars71.40%
- 4 stars22.30%
- 3 stars3.90%
- 2 stars1.60%
- 1 star0.80%
来自计算神经科学的热门评论
由 JM 提供Sep 20, 2021
A well curated course on an equally interesting topic! I've caught an interest for Computational Neuroscience after this experience.
由 BB 提供Aug 2, 2019
In my opinion, the course level ought to be intermediate, not beginner. You can take more out of the course if you already have knowledge in this, or related, areas.
由 PH 提供Dec 27, 2018
Pretty good. A bit of mathematical ambiguity and lax notational conventions, but the course content was solid and presented clearly.
由 AT 提供May 26, 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.
Thanks a lot
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