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.
автор: Andrada T•
автор: Marta M•
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.
автор: Max G•
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.
автор: Victor G•
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!
автор: Vikrant J•
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
автор: Shwetank P•
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.
автор: Sergey A R•
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! :)
автор: Iván E A•
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.
автор: Prachi S•
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.
автор: André M•
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.
автор: Daniel B•
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.
автор: Diego B•
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.
автор: Julieth L C•
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.
автор: Amir Y•
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.
автор: AmirHossein E•
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.
автор: Deepak R V•
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
автор: Rohit P•
Good work by both the tutors. I really like how simple and easy to understand the course module was here, however i wish that Matlab and Python tutorials were a bit more approachable and so i would suggest other learners to look into and sharpen their Math skills before taking this one!
автор: Matthew W•
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!
автор: Lucas S S•
Well-paced, great lectures and good supporting material to follow up with the studies. Totally recommend to people that are interested in modeling the brain (be it neurons or synapses or behavior) with theoretical and computational tools (even if you do not master the math/programming)
автор: Denis L•
an excellent course for machine learning specialists who are interested in the nature-based principles of computing systems. unfortunately, the course does not have may examples of solving practical problems related to writing code, designing network architectures, usiing spikes etc.
автор: Gianluca G•
I am stunned by the amount of info and knowledge I acquired with this course. It really opens up your mind about how your brain works and how you analyze the external world. Totally suggested for beginners (with a good math background) and for who just wants to learn cool stuff
автор: Ravinder S•
Loved this course and will give me direction in grad school however a lot of the information still ending up being over my head, even after watching supplementary videos. This may be a fault of my own instead of a fault of the class. Really enjoyed the first/last teacher.
автор: Sezan M•
This course is very fun and interesting . It is a perfect introduction to Computational Neuroscience which also encourages you to go further in this area. I totally recommend if you are interested in the field and looking for a starting point. This course must be it.
автор: Kruppa A S•
Thank you and your team for adventurous journey through such interesting cross-science subject! Especial respect to Richard Pang, who is making complicated things simple!
Namaste and good luck in your further investigation!
With big warm feelings, hasta la vista! :)
автор: Tucker K•
Very interesting and well taught course. I came in with a background in CS and some ML and very little experience with neuroscience and felt like I learned a good bit about neuro and developed a more solid understanding of the principles underlying ML techniques.