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.
par Rob C•
Mar 03, 2019
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.
Feb 08, 2018
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
par Amit T•
May 27, 2018
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
par DANIEL V•
Feb 05, 2017
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.
par George P•
Jan 13, 2018
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"
par Roberto E•
Jul 27, 2017
It goes from too simple to very complex in few seconds.
par Zeqian L•
Nov 17, 2017
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.
Dec 07, 2018
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)
par Fridah G W K•
Dec 23, 2018
Great learning experience
par Wei X•
Dec 12, 2018
Enlightening! After this course, one know how the architecture came from.
par Changjia C•
Jan 05, 2019
Fantastic course! I enjoy it and love it very much. Thanks Rajesh and Adrienne!
par Руслан К•
Feb 26, 2019
Интересный курс для введения в вычислитетльную нейробиологию)
par Mingchen Y•
Mar 03, 2019
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.
par Vikrant J•
Mar 16, 2019
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
par ANGELOS A•
Dec 14, 2018
Very interesting course,
Very chalenging in math, tutors have deep knowledge of the topics.
par Paridhi K•
Dec 01, 2018
Quite nice if you follow the recommended textbook - Peter Dayan - with it. The lectures touch important point.
par faisal k•
Aug 03, 2018
very effective course for Researchers
par saurabh k p•
Oct 20, 2018
Amazing Course with difficult challenges , hats off to professors :)
Oct 24, 2018
nice course which teach me about what neurons can do and how can we model them with mathmatics
par Krishnakanth A•
Nov 04, 2018
Very interesting and well organised course.
par Maxwell G•
Mar 16, 2017
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.
par Adam E•
May 22, 2017
Comprehensive and challenging.
par Andrés Z•
Apr 18, 2018
By far one of the most complete MOOCs in the subject. Highly recommended.
par AmirHossein E•
Mar 26, 2017
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.
par Manya A•
Apr 03, 2017
Excellent course, very clearly and well explained, suitable for beginners. Also, Rajesh's sense of humor makes the course very enjoyable :) Highly recommended!