Very nice indeed!

Its an eye opener

VERY NICE COURCE

Excellent course

Just amazing! :)

Awesome Content

I recommend it

Nice course !

Great course

great course

very helpful

Good course!

This topic combines a lot of what I find interesting so I am grateful this course exists. Before I started it, my hope was to walk away with more familiarity and a solid foundation for computational neuroscience. As far as I can tell, I was in fact able to gain a basic understanding. There were also a lot of really fascinating concepts throughout the course.

My only issue is that some ideas (probabilities and encoding for instance) gave me a lot of trouble and I felt like instructor couldn't explain these things in a way that I could understand. Sometimes they'd just toss a bunch of unnecessary big words and equations or invoke strange conventions that I'm not comfortable with, leaving me struggling behind. To be fair, there were many ideas for which the instructor also gave very helpful examples or made intuitive connections with other ideas. I wish I could elaborate better on the teaching quality, but this is only a review.

Overall, I was exposed to many new interesting concepts. I seriously hope that I might be able to work in a field similar to this one day.

I have really liked this course,but there is a lot of statistics I didn't expect to find at the beginning. Ihave given me exactly the flavor of what Computational Neuroscience is and what are the field of applications, which are REALLY interesting. Honestly I have found a bit too condensed the part regarding the description of "cause" and all the related statistic stuff which I think should deserve some 1 or 2 videos with solved problems. All summed up, I think this course is really worth of taking. Best regards to the professors and to the mentors and to those who have given me a lot of help with their posting on the forum. Their doubts and the relative answers have really been enlightening for driving me towards a better understanding of the matter. Thank you to all of you.

This is a great course IF you are comfortable with undergraduate mathematics, statistics and computer science. The only downside is that a few quiz questions can be extremely frustrating when there are no explanations for seemingly odd answers even after you have passed the quiz. If you are unfamiliar with the aforementioned subjects I highly recommend starting with the free MIT 9.40 on youtube which covers the same material but with far greater depth and intuition; some basic python tutorials would also be beneficial. If I hadn't completed that course along with my undergraduate in mathematics and previous python experience, I would have struggled to complete this course and enjoy the insight and humour provided by the instructors.

Курс очень интересный. Лекции профессора Рао доставляют истинное наслаждение любознательным зрителям. Выверенная подача сложного материала. Простые, но ухватывающие суть, примеры. Четкое произношение. Мягкая ирония. Также было очень интересно слушать дополнительные лекции по математике. Хотя материал мне был знаком, но я был восхищен как лектор его преподносит. Интересные тесты. Однако есть недостаток: редко какую лекцию можно было посмотреть от начала и до конца без того, чтобы не зависнуть. Ждать несколько часов, чтобы подгрузилось видео, без всякой гарантии на успех - это не для слабохарактерных. В остальном, желаю всяческих успехов коллективу профессора Рао.

The course provides a really good insight into the field of computational neuroscience, touching every area possible. The experiments and real-life research work discussed throughout gives a good understanding and exposure to the field. Assignments equip the student well with the necessary skills and thought process in problem-solving while strengthening the concepts as well. However, I found the computational knowledge required for the course demanding. Though there was adequate help available, more could've been helpful, especially in python. It was a great learning experience.

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.

The material is superb. I loved how the course progressed and the way they described the theory behind concepts such as STA.

I loved the guest lectures and talks that gave me an idea of what it is like to work in the field of computational neuroscience and since I am planning on continuing in this major, it a thrilling adventure for me.

One thing I think should be improved is the clearity of questions in the quizes. Some questions in the weekly quizes can be unclear an need further discussion.

In the end, thank you very much for this wonderful experience.

The course over all was very good but I didnt given it five because of the following : in course 2-5 the lectures were not coherent and the there was no expalantion for how certain experiments or measurments were done and hence natural progression to associate the mathematics. The lecturer tends to speak fast and sometimes eat her words so there was absence of clarity . The lectures were not well structured . on the otherhand lectures 6-8 were much clearer in presenation and scope and more linked with the quizes.

Really interesting overview of the concepts, math and coding necessary to understand how neurons work. The lectures are hit and miss when it comes to explaining the content, a majority of the lectures focused on derivatives and mathematical concepts which lost me. The supplementary videos, especially with Rich were really valuable and helped to synthesize some of the content. Felt like there was a ton of information packed into this course, just not all completely applicable.

I loved the course and the way Professors Rajesh and Adrienne conducted it. I only think the slides and lecture notes could have some more material. I'm a Software Engineer, with a background in Computer Science, but I have been far from math for quite some time (that's why I'm now doing a Cauculus 1 course). I got lost a few times in the quizzes due to lack of information.

But I loved the course and all the new knowledge I acquired. I will certainly recommend. it.

This is an awesome course! I love it because it brings you the real neural part of the artificial neural networks, a thing all courses I've seen till now misses or gives at a really high level.

I don't give it 5 stars because the lectures are sometimes really boring. And I'm not complaining about the topics itself, but the videos are on average 20 minutes long, and the voices are really low, so it's really difficult to keep the focus on.

The contents are well organized and arranged corresponding to the textbook Theoretical Neuroscience. There are supplementary materials for the lecture of each week. The assignments are very helpful for understanding the lectures, with code and data for Matlab, Python 2 and Python 3, which is very friendly for people who are only familiar with some of them. It would be better if the assignments could cover more about the lecture.

some python code is outdated (had the version issues for me), and also the quizes would be better without translations rather than with the translations which it have (some problems to understand the questions with a not perfect translations). So it's probably a technical/organisal issues, but the course itself is good and not easy with quizes as well what helps to train your neurons even more. :)