Chevron Left
返回到 计算神经科学

计算神经科学, 华盛顿大学

4.6
475 個評分
103 個審閱

課程信息

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....

熱門審閱

創建者 CM

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.

創建者 AT

May 27, 2018

This is a wonderful start for a biologist , to get idea of concepts of learning . An advanced course focused more on brain circuitry is suggested.\n\nThanks a lot

篩選依據:

101 個審閱

創建者 Anurag Malyala

Feb 03, 2019

Starts off great but get rushed 3/4ths into the course. Too much content, too little explanation, but recovers swiftly to end on a high.

Recommended

創建者 CHANGJIA CAI

Jan 05, 2019

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

創建者 Pho Hale

Dec 28, 2018

Pretty good. A bit of mathematical ambiguity and lax notational conventions, but the course content was solid and presented clearly.

創建者 Fridah G. Wambui Kariuki

Dec 23, 2018

Great learning experience

創建者 ANGELOS ATHANASSOPOULOS

Dec 14, 2018

Very interesting course,

exciting subject!!!

Very chalenging in math, tutors have deep knowledge of the topics.

Congratulations!!!

創建者 Wei Xie

Dec 12, 2018

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

創建者 sbansal6

Dec 07, 2018

Very clear explanations by professors. I really liked the design of the class and the lectures are very easy to understand if you are just starting in Neuroscience (they don't throw around complicated jargon)

創建者 Driss AIT LABSIR

Dec 02, 2018

As a self-paced student, I like this kind of course. I hope to see a whole specialization in this field with final capstone project. Thanks.

創建者 Paridhi Kothari

Dec 01, 2018

Quite nice if you follow the recommended textbook - Peter Dayan - with it. The lectures touch important point.

創建者 Krishnakanth Allika

Nov 04, 2018

Very interesting and well organised course.