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Computational Neuroscience(으)로 돌아가기

워싱턴 대학교의 Computational Neuroscience 학습자 리뷰 및 피드백

560개의 평가
130개의 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


Jun 15, 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.


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:

Computational Neuroscience의 128개 리뷰 중 126~128

교육 기관: Julia G

Oct 01, 2017

The professors who teach the course are very engaging and are able to make a challenging topic into something interesting and entertaining. The course is very math and programming-heavy, so make sure to brush up on these concepts and be prepared to know how to conceptualize neuronal behavior with mathematical equations and programming functions and vice versa. If you have any questions to post on the Discussion Forum, be prepared to look for the answer outside of the course - the response times of the mentors or other students are horrendous and there are even some instances where questions are never answered. This, as a biology person who had little to no experience in programming or advanced calculus, was the most frustrating aspect of the course. In regards to computational neuroscience as a course, the material itself is beginner-level, but the math/programming is definitely not (more like intermediate/advanced).

교육 기관: Renjith B

Feb 20, 2018

I just started the course. But it is exciting for me as a Machine learning and deep learning practitioner!!!

After week 1, the learning curve is steep. The topics are exciting but lectures are not engaging.

교육 기관: Christopher L M

Jun 03, 2017

[3.5 stars] The course provides an overview of some interesting topics. I would have prefer more emphasis on applications, perhaps in the form of additional exercises. Overall, I have my adventure hat on and I am excited to push on further into the neuro-jungle.