Chevron Left
返回到 计算神经科学

学生对 华盛顿大学 提供的 计算神经科学 的评价和反馈

610 个评分
143 条评论


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....



May 25, 2019

I really enjoyed this course and think that there was a good variety of material that allowed people of many different backgrounds to take at least one thing away from this.


Jun 15, 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.


76 - 计算神经科学 的 100 个评论(共 141 个)

创建者 Arish A

Sep 02, 2017

One of the best courses on computational neuroscience

创建者 小妮

Aug 27, 2019

Great! While hope for more teaching on programming!

创建者 Tristan D

Apr 13, 2018

Interesting, although sometimes very math-intensive

创建者 Vydyula A

Jul 08, 2019

Intreginity of strategy of learning from stractch

创建者 Fedor T

Sep 21, 2017

This was a rather engaging intro course. Fun.

创建者 Krishnakanth A

Nov 04, 2018

Very interesting and well organised course.

创建者 熊华东

Oct 04, 2019


创建者 faisal k

Aug 03, 2018

very effective course for Researchers

创建者 donghyuk k

Feb 06, 2017

please let me show quiz again please

创建者 Swarn S ' D A W

Nov 03, 2019

The discussion forums helped a lot.


Oct 03, 2016

Superb lectures and explanations

创建者 Adam E

May 22, 2017

Comprehensive and challenging.

创建者 Hariharan L

Aug 24, 2019

I find it really interesting

创建者 Yi-Yin H

Jun 29, 2019

It was an amazing journey!

创建者 Fridah G W K

Dec 23, 2018

Great learning experience

创建者 Aditya V

Dec 12, 2017

loved it ...learned alot

创建者 Vili V

Jul 28, 2019

Very enjoyable course!

创建者 刘仕琪

Mar 11, 2017

The teacher is funny!

创建者 Cian M M

Oct 06, 2019

Very nice indeed!

创建者 Gavin J J

Sep 12, 2017

Its an eye opener

创建者 Bilal C

Apr 12, 2017

I recommend it

创建者 Mtakuja L

Apr 03, 2017

Nice course !

创建者 钱琨浔

Apr 28, 2017

very helpful

创建者 Sourabh J

Nov 05, 2016

Good course!

创建者 Ivy T

Oct 26, 2017

I'm a professor in psychiatry with a background in clinical psychology. I conduct clinical research to understand the neural mechanisms involved in psychiatric diseases. I found the course very informative and covers topics in computational neuroscience that are critical to further my research in the computational direction.

The course involves a moderate amount of math, which is absolutely necessary to understand the materials. For someone like me who did calculus more than 20 years ago (i.e., rusty), I often found the explanation of the math too fast. I had to pause the videos multiple times to digest the formulas and re-watch some videos to get a true understanding of the materials in order to complete the quizzes successfully (especially in later weeks as the concepts get more advanced). The supplementary tutorials by Rich Pang are extremely helpful. He talks at a slower pace, allowing time for you to think along the way. He is also very good at helping you to get an intuitive understanding of the complex concepts. I would recommend watching Rich's tutorials before watching the lecture videos. That way, you would understand the lectures more readily.

The quizzes are overall well designed and helpful in terms of facilitating the consolidation of your understanding of the concepts and methods covered in that particular week. I don't know if it's just me. I tended to spend a lot more time than the estimated time (e.g., 3 hours instead of 1 hour) to complete and pass a quiz (especially later ones that involve more Matlab programming).

Overall, I found this course very useful and overall well constructed.