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Avis et commentaires pour d'étudiants pour Neurosciences computationnelles par Université de Washington

4.6
étoiles
771 évaluations
180 avis

À propos du cours

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....

Meilleurs avis

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.

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176 - 179 sur 179 Avis pour Neurosciences computationnelles

par Sami J

Jan 27, 2020

Very interesting, buy also pretty superficial. Surprisingly low amount of hands-on computation considering that it's a class in computational neuroscience.

par M K

Sep 10, 2020

The course is hard in terms of a student at UG level. The teachers are super fun and amazing they teach really well though. But the course is hard.

par Mathew T K

Jun 04, 2020

The course started out quite well, but increasingly became very difficult to follow. Instruction during the second week through the fifth week was particularly difficult for me to understand. Only the additional lectures by Rich made sense, but didn't go deep enough to help me understand the course material.

par Tanvi P

Jul 14, 2020

The course is good but requires excellent math and programming skills. Students who don't like math might face some difficulties.