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Voltar para Neurociência Computacional

Comentários e feedback de alunos de Neurociência Computacional da instituição Universidade de Washington

983 classificações

Sobre o 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....

Melhores avaliações


7 de abr de 2018

Extremely enlightening course on how Neuron's work and the science of computational neuroscience. Even if you don't want to get into the complex mathematics you can get a lot out of the course


10 de jun de 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.

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226 — 234 de 234 Avaliações para o Neurociência Computacional

por ­배용희(대학원/일반대학원 물

29 de fev de 2020

por Christopher M

3 de jun de 2017

por Renjith B

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por Sami J

27 de jan de 2020


10 de set de 2020

por Shengjie Z

22 de jan de 2021

por Tanvi P

14 de jul de 2020

por Chris c

19 de out de 2022

por Vanessa O A

16 de nov de 2022