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    Back to Computational Neuroscience

    Learner Reviews & Feedback for Computational Neuroscience by University of Washington

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    4.6
    stars
    1,105 ratings

    About the Course

    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 unde...
    ...

    Top reviews

    AG

    Jun 11, 2020

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    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.

    JR

    Apr 8, 2018

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    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

    Filter by:

    76 - 100 of 263 Reviews for Computational Neuroscience

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    By 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!

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    By André M

    •

    Jun 18, 2020

    Fantastic introduction to the field. Very engaging lessons, good pace where new concepts are introduced regularly enough. Makes me want to go back, there's a lot of things I'd like to get a refresh on.

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    By Kai S

    •

    Oct 25, 2021

    A wonderful rather lightweight introduction to the field with much enthusiasm, some good examples and code snippets, and a great team. Thank you for the adventure ride!

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    By 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.

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    By José A P O

    •

    Oct 18, 2022

    Me gustó este curso ya que aprendi conceptos basicos de medicina especficicamente de neuro y conceptos computacionales utilizando algebra y softwares como matlab

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    By Melissa S

    •

    Jan 8, 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.

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    By Manya A

    •

    Apr 3, 2017

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

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    By Shashank A

    •

    Sep 12, 2022

    Its an amazing course. You will love the way they teach. I'm so glad to get guidance under Prof . Rajesh through this course. One word "Its great".

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    By 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).

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    By H R S S

    •

    May 18, 2020

    Excellent course! The field of comp neuro was brough to life by the instructors! The exercises really helped in understanding the content.

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    By JABADE A M

    •

    Sep 21, 2021

    A well curated course on an equally interesting topic! I've caught an interest for Computational Neuroscience after this experience.

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    By ANGELOS A

    •

    Dec 14, 2018

    Very interesting course,

    exciting subject!!!

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

    Congratulations!!!

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    By Soumyadev P

    •

    Aug 27, 2021

    This course was a really great primer to the field. I found some of the math hard to follow, but I would definitely recommend this!

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    By 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.

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    By J N

    •

    Jun 24, 2021

    Awesome course! Introduced me to mathematical modeling of neurons, basics of neuroanatomy and the main concepts of the field.

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    By Abbi D

    •

    Jan 13, 2021

    Excellent course! Extremely interesting. Great lectures and the quiz format of evaluation was perfect for this online class

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    By Haseeb U R

    •

    Jul 26, 2021

    one of the best course of Coursera. Best teachers are there easy to understand and this course is easy for all departments

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Julia G

    •

    Apr 23, 2020

    Fun! I think if this course is practiced with dilligent coding, it is a great tool for learning computational neuroscience

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Katarina V

    •

    Dec 16, 2020

    Interesting introduction into the world of computational neuroscience. Great lectures and useful supplementary material.

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    By STEPHEN D A 2

    •

    Nov 11, 2021

    This course helps me to enhance my interest in Neuroscience and Brain computer Learning. Thanks to course coordinators.

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    By Jack S

    •

    Aug 7, 2020

    Excellent course, great lecturers, quizzes were challenging but fair. My only complaint is that I wish there was more.

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    By Saeid S S

    •

    Mar 19, 2022

    As an idea, I can say that more basic programming can be added, such as calculating the fairing rate and so on.

    thanks

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    By Keith R

    •

    Jul 2, 2019

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

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    By Find

    •

    Oct 6, 2020

    quite an interesting and meaningful course for me. It gives me an insight into neuro and artificial intelligence.

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    By Paridhi K

    •

    Dec 1, 2018

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

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