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Computational Neuroscience, University of Washington

4.6
Оценки: 448
Рецензии: 97

Об этом курсе

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....

Лучшие рецензии

автор: 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.

автор: 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

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Рецензии: 96

автор: 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)

автор: Matthew Raymond

Dec 06, 2018

Raj is a god.

автор: 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.

автор: Paridhi Kothari

Dec 01, 2018

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

автор: Krishnakanth Allika

Nov 04, 2018

Very interesting and well organised course.

автор: 潘宜城

Oct 24, 2018

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

автор: saurabh kumar pandey

Oct 20, 2018

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

автор: faisal khan

Aug 03, 2018

very effective course for Researchers

автор: Amit Tak

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.

Thanks a lot

автор: Moustapha MarcAntonio Awada

May 26, 2018

The course over all was very good but I didnt given it five because of the following : in course 2-5 the lectures were not coherent and the there was no expalantion for how certain experiments or measurments were done and hence natural progression to associate the mathematics. The lecturer tends to speak fast and sometimes eat her words so there was absence of clarity . The lectures were not well structured . on the otherhand lectures 6-8 were much clearer in presenation and scope and more linked with the quizes.