Chevron Left
Retour à Neurosciences computationnelles

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

4.6
étoiles
788 évaluations
184 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
10 juin 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
24 mai 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.

Filtrer par :

176 - 182 sur 182 Avis pour Neurosciences computationnelles

par ­배용희(대학원/일반대학원 물

29 févr. 2020

Best for the beginner.

par Christopher M

3 juin 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.

par Renjith B

20 févr. 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.

par Sami J

27 janv. 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

10 sept. 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

4 juin 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

14 juil. 2020

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