Para quem é direcionado este curso: The course is primarily aimed at third- or fourth-year undergraduates and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information.

Desenvolvido por:   Universidade de Washington

  • Rajesh P. N. Rao

    Ministrado por:    Rajesh P. N. Rao, Professor

    Computer Science & Engineering

  • Adrienne Fairhall

    Ministrado por:    Adrienne Fairhall, Associate Professor

    Physiology and Biophysics
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said

Perguntas frequentes
Como funciona

Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.

Ajuda dos seus colegas
Ajuda dos seus colegas

Conecte-se com milhares de outros aprendizes, debata ideias, discuta sobre os materiais do curso e obtenha ajuda para dominar conceitos.


Obtenha reconhecimento oficial pelo seu trabalho e compartilhe seu sucesso com amigos, colegas e empregadores.

Universidade de Washington
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
Classificações e avaliações
Avaliado em 4.6 de 5 decorrente de 114 avaliações

Very good teaching skills by both professors and interesting guest lectures and tutorials. Assignements that demand your full attention. I would like some more depth as far as the developement of programming skills and the practice. Great intuition and explanation.

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.

The teacher is funny!

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.