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Avis et commentaires pour d'étudiants pour Neurosciences computationnelles par Université de Washington

787 évaluations
184 avis

À propos du cours

This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. 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....

Meilleurs avis

10 juin 2020

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.

14 juin 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.

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76 - 100 sur 182 Avis pour Neurosciences computationnelles

par Richard B

10 nov. 2016

Excellent overview of the different areas of computational neuroscience taught by engaging academics.

par Gustavo C M

31 juil. 2020

An amazing course, carried at a good pace being understandable too, I will have to buy a nice hat!

par Prakhya S

20 janv. 2020

Absolutely enjoyed learning about Computational Neuroscience. Well explained. Highly recommend.

par 潘宜城

24 oct. 2018

nice course which teach me about what neurons can do and how can we model them with mathmatics

par Efren S

12 déc. 2017

Just amazing! This course has made a great impression on me and rekindled my love for physics.

par Adam L

14 janv. 2017

Lectures are concise; quizzes are helpful. Great introduction to computational neuroscience!

par Chinmay S H

29 juil. 2019

I learned a great amount from this course. Now, I want to learn more about neural coding

par CongMa

8 oct. 2016

It is fantastic. For me, it could be much better if it has Chinese lyrics~ Thanks a lot~


20 mai 2020

Helped me understand how neurons work and model the same using some simple Python code.

par Matheus B M

7 avr. 2017

GIves a very good introduction to the field. It was quite hard on the maths some times.

par Nilosmita B

26 juil. 2017

Its a fantastic course for any one interested in the computational neuroscience field.

par Gustavo P

24 févr. 2018

Excellent course! I really learned all I wanted about this topic! Really recommended!

par Arthur C

25 mai 2017

Great class for both professional in machine learning and computational neuroscience.

par José M T

14 avr. 2017

Congratulations !!!. You have managed to explain complex knowledge in a simple way

par Faris G

5 avr. 2020

Love it! Very quick, easy to understand course from the University of Washington.

par Debapriya H

13 janv. 2020

i like this course very much and its helpful for neuroscience future study of me.

par Changjia C

5 janv. 2019

Fantastic course! I enjoy it and love it very much. Thanks Rajesh and Adrienne!

par Benjamin S

17 mars 2018

Awesome course, awesome introduction to the mathematical backgrounds as well!

par 孙嘉秋

11 mars 2018

Exercellent start on the quantatative understanding of Neurons and Networks.

par Wei X

12 déc. 2018

Enlightening! After this course, one know how the architecture came from.

par Andrés Z

18 avr. 2018

By far one of the most complete MOOCs in the subject. Highly recommended.

par Hernan

9 avr. 2019

Muy instructivo y entretenido! Felicitaciones a los autores del mismo.

par Dr P T K

13 juil. 2020

The teaching is good and easy to understand style of presentations..

par Shahbaz K

25 juin 2019

Made it really easy for me to get into this field. So very inspired.

par saurabh k p

20 oct. 2018

Amazing Course with difficult challenges , hats off to professors :)