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Computational Neuroscience, University of Washington

4.6
452 calificaciones
99 revisiones

Acerca de este 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....

Principales revisiones

por 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.

por 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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98 revisiones

por ANGELOS ATHANASSOPOULOS

Dec 14, 2018

Very interesting course,

exciting subject!!!

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

Congratulations!!!

por Wei Xie

Dec 12, 2018

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

por 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)

por Matthew Raymond

Dec 06, 2018

Raj is a god.

por 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.

por Paridhi Kothari

Dec 01, 2018

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

por Krishnakanth Allika

Nov 04, 2018

Very interesting and well organised course.

por 潘宜城

Oct 24, 2018

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

por saurabh kumar pandey

Oct 20, 2018

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

por faisal khan

Aug 03, 2018

very effective course for Researchers