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Voltar para Neurociência Computacional

Comentários e feedback de alunos de Neurociência Computacional da instituição Universidade de Washington

909 classificações
216 avaliações

Sobre o curso

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....

Melhores avaliações

10 de Jun de 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.

24 de Mai de 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.

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101 — 125 de 215 Avaliações para o Neurociência Computacional

por Nilosmita B

26 de Jul de 2017

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

por Gustavo P

24 de Fev de 2018

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

por Arthur C

25 de Mai de 2017

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

por José M T

14 de Abr de 2017

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

por Richard C

2 de Set de 2021

nice!This course has led me into a brand new field of computional neural science!

por Faris G

5 de Abr de 2020

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

por Debapriya H

13 de Jan de 2020

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

por Changjia C

5 de Jan de 2019

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

por Benjamin S

17 de Mar de 2018

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

por Vince J S

11 de Mar de 2018

Exercellent start on the quantatative understanding of Neurons and Networks.

por Wei X

12 de Dez de 2018

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

por Andrés Z

18 de Abr de 2018

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

por Hernan

9 de Abr de 2019

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

por Dr. P T K

13 de Jul de 2020

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

por Shahbaz K

25 de Jun de 2019

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

por saurabh k p

20 de Out de 2018

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

por Maxim Y

17 de Set de 2017

Thank you for sharing such a wonderful knowledge with the world!

por Swaraj K

21 de Abr de 2018

Very nice course. Interesting Quizzes and excellent instructors

por Mehdi H

28 de Out de 2017

Thank you for an amazing experience. I really liked the course.

por Руслан К

26 de Fev de 2019

Интересный курс для введения в вычислитетльную нейробиологию)

por Anthony J J C

4 de Mai de 2021

Super bueno e interesante, pero requiere de mucha dedicacion

por Zhou W

14 de Jun de 2020

Great course for generally view the basic contents of CN

por Zejun W

12 de Out de 2016

Wonderful course for introduction this field. Good luck!

por Deleted A

16 de Fev de 2017

It was a great experience. Thank you very much you all.

por Arish A

2 de Set de 2017

One of the best courses on computational neuroscience