It was by far the best course I've taken on Coursera. For someone not dealing with math in their everyday life it could have been a bit challenging, but I really enjoyed watching how math, physics and neuroscience use the same concepts and how various models can be interchangeable.

Main subject was super-interesting, but I also enjoyed how it showcased how mathematical concepts can be used and applied. It's really disappointing that such approach is not that common in formal education many of us have received... For such interesting topics you presented I would go back to university and learned differential equations once again, seeing some purpose in them at last. I always knew that mathematics is a beautiful language, but during my education no-one showed me such profound and exciting problems to express them in it.

The instructors were great and guest lectures were fun as well. I am almost regretting choice of my everyday computer science career when hearing about problems you get to solve :) Thanks a lot! This was definitely one of the best online courses I've seen and time spent on it was not wasted.

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.

Exceptional exposition of topics. A lot of information packed in small bursts of lectures. Assignments demanded conceptual understanding. Overall, a very good learning experience. The best introduction to computational neuroscience I have encountered. Highly recommend the course!

Brilliant course. For a HS student the math was challenging, but the quizzes and assignments were perfect. The tutorials and supplementary materials are super helpful. All in all, I loved it.

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.

The course itself is interesting and most lectures are well done. However, the difficulty of the material increases dramatically after a few weeks in, requiring a good understanding of differential equations / calculus / linear algebra / statistics. Even with some prior knowledge, I had a tough time and will probably do the course a second time.

Quite interesting. I would see more explanation of some phenomena, though.

I appreciate the effort of the lecturers to introduce so many interesting topics in such a short course, and the supplementary lectures by the TA are very helpful in understanding the concepts. However, as some other reviews have pointed out, the contents are too condensed and it jumped quickly from too simple to hard to understand. I guess it would be better if less topics are introduced but in more depth, or focused more on intuition under each topic rather than going into the maths without fully explaining them... I eventually reached a state of not really understanding the lecture videos but barely grasped some vague concepts. Then I can pass the quizes with full scores, without knowing what exactly I have learned or how I may apply them in real research...

This course is super sketchy. Many assumptions without explanation... It's not suitable for beginners. I completed this course only because I don't want to give up after starting. Two stars for the time of everyone who's behind this course.

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very unfriendly to A BEGINNER

I loved this course. It is an excellent introduction to the realm of Computation Neuroscience. The lecturers presented the concepts clearly and effectively. Dr. Rao was especially great. However, those looking to take this course should have some knowledge of Differential Equations, Calculus, Linear Algebra, and either Python or Matlab before taking this course.

I had not taken very much Calculus or Differential Equations prior to taking this course, and I had to do a fair amount of external research to understand some aspects of the lectures.

The professors who teach this course do a great job of explaining the concepts and ideas of the topic, rather than just reading lots of formulas. They break the math down to help the viewer intuitively understand what each one is doing. Someone taking this course who doesn’t not have that solid of a math background will have some trouble, but the course won’t be impossible. A bit of Programming experience with either Python (2 or 3) or Matlab, however is a must.

Very insightful course! It requires a little bit of statistical and calculus base, but nothing that some extra studying can't help. The course is also accompanied by a set of supplementary lectures that are very helpful as well. I recommend for those who are starting the course now to go through the supplementary material before starting the lectures.

The course opened my mind a lot about the computational neuroscience field. I can say without a doubt that this course grew a love for the field inside me, which I will keep studying from the referred books and materials. I hope to get started working on my own projects using what I learned pretty soon.

Thanks for Rajesh and Adrienne for this amazing 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

This course will be one of the most satisfying pursuits for any individual interested in exploring the intersection of neurobiology, AI and Statistics. The course is really well-rounded covering all major portions in the computational neuroscience. The supplementary material provided for exploration is really intriguing and a must go for people interested in understanding the gory details behind the equations. Hands down! this one is the best MOOC experience so far for me.

Te course captures from the very beginning!

The lectures and work with REAL data (despite it's obvious simplicity) will hold you till the end.

The confirmation of the theory, calculated with my own hands, with the practical results from the laboratories.

It's just a first step, the next one is in supplemental materials, and then proceed farther and farther.

Well, and a fly in the ointment :) a lack of programming through the course, we can do more! :)

This course is an introduction to the vast field of computational neuroscience. Every week the subject is different. I found the supplementary videos very helpful on their own, explaining concepts like entropy, probability distributions, gradient descent, and more.

I have completed several Coursera courses, and this has the best kind of weekly tests (homework). I enjoyed the coding and felt that It made the concepts clearer.

The course provided deep insight into various aspects of brain and how we can use our knowledge of mathematics and physics to understand the biology and mechanism of brain. The assignments helped me to understand the course better and kept me motivated throughout the course. It encouraged me to know in further details about this interesting field of computational neuroscience.

Excellent course, looking forwards to going back over the lectures and consolidating what I've learnt. Big word of thanks to Rajesh and Adrienne, but also to TA Rich Pang, who does an excellent job getting you up to speed on the maths. Very excited about what I've learnt in the course and the way it's made me look at neuroscience in a new and richer way.

Phenomenal course. My background is in mechanical engineering, but all the biological concepts were explained clearly and concisely. I wish a bit more modeling in Matlab was done, but overall I'm very pleased with the course. A solid background in linear algebra, statistics, and some basic calculus is recommended to get the most out of the course.

I must admit that, before starting this course, I was skeptic about an online course on Computational Neuroscience. My initial feelings totally reversed during the first weeks of the course. I really appreciated the effort of Rajesh and Adrienne to explain the complex mechanisms of neurons and brain functions in a clear and enjoyable way.

I really liked these course, the mathematical component was very complete like the biological component, my only problem was that there was an exercise that I never could understand at all, I'd like a more clear feedback. However in general I recomend the course, the professors are really good. Thank you.

I greatly enjoyed this course. It has a nice structure, and the progress is quite reasonable assuming you have decent background in linear algebra and calculus derivations. They still offer great supplementary resources for those lacking necessary background knowledge. Overall, I'd recommend it.

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.

One of the most enjoyable and intriguing course, Prof. Rajesh Rao, Prof.Adrennie fairhall and team, put great efforts and the course is very well executed.

The quizzes are awesome.

A great learning experience

#Brain #Information_Theory #Dynamical_systems #SIgnal Processing #Machine_learning