非常好的一门课，第六周有点不够详细，第七周讲机器学习，我是有一些基础的才看懂。

As a beginning PhD student in computational neuroscience, I found this course to be incredibly useful as a refresher. And as an introduction to the subject, it is incredibly engaging, interesting and, of course, one fun adventure! Many thanks to both Rajesh and Adrienne for this course!

Thank you for sharing such a wonderful knowledge with the world!

Enlightening! After this course, one know how the architecture came from.

A very good introduction to computational neuroscience! The course demands a relatively high level of mathematics (such as linear algebra, optimization problems, etc.), but all of them are quite clearly explained in the lectures.

It is just perfect for an introductory level course! Paced sort of like a web series, it keeps you hooked throughout. I absolutely loved it, and as a Physics graduate going into the world of computational neuroscience, this course has helped me with building my comp neuro arsenal.

The discussion forums helped a lot.

Very clear explanations by professors. I really liked the design of the class and the lectures are very easy to understand if you are just starting in Neuroscience (they don't throw around complicated jargon)

Its a fantastic course for any one interested in the computational neuroscience field.

Excellent course. Got to learn concepts across a wide range of subjects like information theory, statistics, biology, chemistry, etc. (I could go on).

Coming from a CS + ML background, this helped me appreciate the building blocks of abstractions that we can so easily take for granted in the age of Deep Learning. It really helps to learn and think about these things because it makes you realize how nothing is set in stone and the popularity of one model (MLPs) has a lot to do with history and not just mathematics.

This course is an absolute must for those interested in computational neuroscience. The professors are very knowledgeable and the course is very rigorous. The techniques introduced in this course are useful and the supplementary material is enough to last for you months of reading on this topic.

By far one of the most complete MOOCs in the subject. Highly recommended.

Its an eye opener

Great! While hope for more teaching on programming!

Excellent course, very clearly and well explained, suitable for beginners. Also, Rajesh's sense of humor makes the course very enjoyable :) Highly recommended!

An amazing course for people with a computer science background wishing to explore the world of human brain from CS perspective.

It was a great experience. Thank you very much you all.

It was an amazing journey!

It is an excellent overview course of computational neuroscience and a wonderful introduction for beginners who want to join in computational neuroscience research.

Интересный курс для введения в вычислитетльную нейробиологию)

Starts off great but get rushed 3/4ths into the course. Too much content, too little explanation, but recovers swiftly to end on a high.

Recommended

Pretty good. A bit of mathematical ambiguity and lax notational conventions, but the course content was solid and presented clearly.

I liked the course. I enjoyed solving the problems and I am now confident in learning more advanced concepts and getting my hands dirty in neural networks and machine learning.

I only have one complaint like suggestion, if only the TAs or the instructors could show some examples of solutions or algorithms for the concepts, it would have been much easier. Although, i have understood the concepts, I have not yet grasped the implementations of the concepts in actual codes and programs. Please update the course regarding that. Thanks a lot again to Rajesh, Adrienne and Richard.

I enjoyed the course very much and hopefully learned quite a bit about how to model neurons and some interesting new ways to look at methods like perceptrons and PCA. The course videos are short by very dense. Make sure you make enough notes and prepare enough time for all of them.

Great overview of a really cool field, gives nice intuitions for ideas in computational neuroscience.