Chevron Left
Volver a Neurociencia computacional

Opiniones y comentarios de aprendices correspondientes a Neurociencia computacional por parte de Universidad de Washington

4.7
estrellas
632 calificaciones
149 revisiones

Acerca del 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

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.

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.

Filtrar por:

26 - 50 de 147 revisiones para Neurociencia computacional

por Tucker K

Mar 11, 2018

Very interesting and well taught course. I came in with a background in CS and some ML and very little experience with neuroscience and felt like I learned a good bit about neuro and developed a more solid understanding of the principles underlying ML techniques.

por Mingchen Y

Mar 03, 2019

This course is very helpful! I especially enjoy doing the exercise which is well designed and facilitates my understanding of CN. Besides, I find the textbook Theoretical Neuroscience by Dayan and Abbott more understandable after I finished this coursera course.

por Kanchana R

Jan 29, 2017

Very informative. I started the course as I am an undergraduate who is involved in a research and development project on Spike Timing Dependent Plasticity. This course opened me into the literature on STDP and helped me understand the relevant material.

por Alex U

Aug 02, 2017

With a extremely rich content, this course is a challenge for students, even for those with maths, ML or neuroscience background. The course requires students to master knowledge of these three fields, but it will prove that it DESERVES the efforts.

por Peter G

Nov 17, 2016

Great course, but it requires quite a bit of mathematics/physics to get through. Enough material in there for three or four courses. The quizzes are not hard though - in fact I'd preferred it if the programming exercises had been more challenging.

por Al-Rashid J

Apr 07, 2019

This course was enjoyable, to say the least. It helped explained the thinking behind the conceptualization of existing algorithms that I've been introduced to in other courses for AI, but it further explained how they were mathematically derived.

por Tom R

Apr 23, 2017

Really great course to supplement reading of Dayan and Abbott's Theoretical Neuroscience text. Programming assignments were really helpful in getting practical understanding of concepts. Only wish there were more graded programming assignments!

por Marcos A

Dec 18, 2016

Excellent Course, with very clear and detailed explanations, and a lot of additional materials indicated through links and papers. I particularly enjoyed the Guest Lectures as well, showing the applicability of what was learned in real life.

por Yuyan Z

Oct 30, 2019

A very good introduction to computational neuroscience! The course demands a relatively high level of mathematics (such as linear algebra, optimization problems, etc.), but all of them are quite clearly explained in the lectures.

por Estelle B

Feb 07, 2020

Very interesting topic. I particularly liked the tests with programming exercices. It helped to apply the concepts I learned quite well. The tests overall are good quality and do not only expect student to copy/paste knowledge.

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 Nikolaos P

Jul 29, 2019

Perfect course. The only feedback I would give is, if possible, to include slides in the weekly material for review instead of just text. Thank you for this amazing tour through Computational Neuroscience!

por Jaime R

Apr 08, 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

por Jacob B

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.

por taiping.z

Nov 17, 2016

It is an excellent overview course of computational neuroscience and a wonderful introduction for beginners who want to join in computational neuroscience research.

por Melissa S

Jan 08, 2020

Very challenging course with fascinating new content that refers to a lot of research in the area! Good start for someone considering computational neuroscience.

por Manya A

Apr 03, 2017

Excellent course, very clearly and well explained, suitable for beginners. Also, Rajesh's sense of humor makes the course very enjoyable :) Highly recommended!

por Julio C d C M

Jul 31, 2019

A very nice introduction to Computational Neuroscience world. The main course advantage is the matching between theory and practice (programming).

por ANGELOS A

Dec 14, 2018

Very interesting course,

exciting subject!!!

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

Congratulations!!!

por Syed S A Z

Dec 31, 2016

An amazing course for people with a computer science background wishing to explore the world of human brain from CS perspective.

por Keith R

Jul 02, 2019

Excellent Course! Very in-depth and informative! Exceptional faculty and extensive supplementary material as well!

por Paridhi K

Dec 01, 2018

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

por Chema A E

Oct 15, 2017

great content and teachers, delighted with addicional content for maths and the good vibe of everybody

por masih f

Apr 05, 2017

this course is perfect for who wants to get familiar with computational neuroscience general concepts.

por Richard B

Nov 11, 2016

Excellent overview of the different areas of computational neuroscience taught by engaging academics.