Great course! Really enjoyed the variety of topics and the just enough computational work in the quiz's. And that Eigen hat had me smiling and laughing about it for a week.

This course is a good start for learning computational neuroscience. I have learned how a single neuron processing signal and how to modeling this interesting process through mathematical and computational methods. I also learned the idea and models of the adaption of synapsis and coding of a group of neurons, which form the basis of memory and learning. The course also gave a brief intro to reinforcement learning, unsupervised learning and supervised learning and I can't wait to explore the fascinating world of deep learning.

However, I think the course focusing a lot on the modeling of a single neuron rather than the modeling of a group of neurons. I think expanding the content and depth on neuron network would help the students have a better understanding on the memory or learning process. Also, the lectures in this course are very wide, whereas the quizes, although really help on understanding the lectures, are just related to some parts of the lectures. I think it would be better if the lectures closer relate to the quizes or give us a hint on where to look in the textbook in order to have a better understanding of the lectures.

Really appreciate all your efforts! learning how our brain works and the origin of our consciousness which I think is the ultimate topics of human being has always been my dream. I'm glad that this course enabled me to move closer to my dream

I very much enjoyed the course overall. Lectures from week 2 to week 5 were a little bit tedious in my opinion, not because of the content, but due to the way the lecture was presented. I suggest that by the end of the course, one could see the correct answers (with explanation) of the quizzes, since that would help learning. I enjoyed the course and I learned a lot. I thank the coursera staff and the UW faculty who made this possible.

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

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

Its a summation of summation of Conputational Neuroscience. Each week of this course could be a whole different course that really delves into the subject and not just presenting it. Video lessons were spamming you super compressed information. Some videos were sloppy and not helpful at all.

In addition, there are no helpful videos with examples-exercises that could really reinforce your learning. From the instructors I could only understand Rajesh Rao. Supplementary Video Tutorials by Rich Pang were awesomely simplistic and understandable but not enough for this course... All we need is more detailed and well explained examples...

In sort, after successfuly completing the course, I can say that I havent really learned anything. Just a glimpse of what neuroscience is all about... I ve seen better courses. I believe this course should be renamed to "An Introduction to Computational Neuroscience"

It goes from too simple to very complex in few seconds.

This course felt really sketchy. Lectures were going way too fast and kept skipping concepts and derivations. Not bad if one only wants a superficial grasp of these concepts, but definitely not worth the price.

Very interesting course,

exciting subject!!!

Very chalenging in math, tutors have deep knowledge of the topics.

Congratulations!!!

Fantastic course! I enjoy it and love it very much. Thanks Rajesh and Adrienne!

Интересный курс для введения в вычислитетльную нейробиологию)

This course is very helpful! I especially enjoy doing the exercise which is well designed and facilitates my understanding of CN. Besides, I find the textbook Theoretical Neuroscience by Dayan and Abbott more understandable after I finished this coursera course.

Computational Neuroscience is a well structured, insightful and methodical course. There were so many moments when I was dumbstruck by the power which our brain has, that I've lost the count of them! As a biophysics, signal processing enthusiast, I'm considering to go for higher studies in the field of Neuroscience and this course has just made my decision unequivocal. Big kudos to the instructors Prof. Rao and Prof. Fairhall for their inputs for both, the content of the course and sharing their research material! I can't wait to explore the brain to its fullest! :D

Great learning experience

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)

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

This course was enjoyable, to say the least. It helped explained the thinking behind the conceptualization of existing algorithms that I've been introduced to in other courses for AI, but it further explained how they were mathematically derived.

Muy instructivo y entretenido! Felicitaciones a los autores del mismo.

One of the best courses on computational neuroscience

Great class for both professional in machine learning and computational neuroscience.

Interesting, although sometimes very math-intensive

please let me show quiz again please

Good course!

Superb lectures and explanations

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