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컴퓨터 신경 과학(으)로 돌아가기

워싱턴 대학교의 컴퓨터 신경 과학 학습자 리뷰 및 피드백

4.6
별점
728개의 평가
174개의 리뷰

강좌 소개

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....

최상위 리뷰

AG

Jun 11, 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.

JB

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.

필터링 기준:

컴퓨터 신경 과학의 172개 리뷰 중 76~100

교육 기관: 潘宜城

Oct 24, 2018

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

교육 기관: Efren S

Dec 12, 2017

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

교육 기관: Adam L

Jan 15, 2017

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

교육 기관: Chinmay S H

Jul 29, 2019

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

교육 기관: CongMa

Oct 09, 2016

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

교육 기관: VELAGA H P

May 20, 2020

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

교육 기관: Matheus B M

Apr 07, 2017

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

교육 기관: Nilosmita B

Jul 26, 2017

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

교육 기관: Gustavo P

Feb 24, 2018

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

교육 기관: Arthur C

May 25, 2017

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

교육 기관: José M T

Apr 14, 2017

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

교육 기관: Faris G

Apr 05, 2020

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

교육 기관: Debapriya H

Jan 14, 2020

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

교육 기관: Changjia C

Jan 05, 2019

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

교육 기관: Benjamin S

Mar 17, 2018

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

교육 기관: 孙嘉秋

Mar 11, 2018

Exercellent start on the quantatative understanding of Neurons and Networks.

교육 기관: Wei X

Dec 12, 2018

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

교육 기관: Andrés Z

Apr 18, 2018

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

교육 기관: Hernan

Apr 09, 2019

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

교육 기관: Palani T K

Jul 13, 2020

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

교육 기관: Shahbaz K

Jun 25, 2019

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

교육 기관: saurabh k p

Oct 20, 2018

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

교육 기관: Maxim Y

Sep 17, 2017

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

교육 기관: Swaraj K

Apr 21, 2018

Very nice course. Interesting Quizzes and excellent instructors

교육 기관: Mehdi H

Oct 28, 2017

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