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....

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.

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.

필터링 기준:

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: 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!

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: 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)

교육 기관: 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!

교육 기관: 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

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: 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!

교육 기관: 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).

교육 기관: ANGELOS A

•Dec 14, 2018

Very interesting course,

exciting subject!!!

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

Congratulations!!!

교육 기관: 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.

교육 기관: Keith R

•Jul 02, 2019

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

교육 기관: Paridhi K

•Dec 01, 2018

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

교육 기관: Chema A E

•Oct 15, 2017

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

교육 기관: masih f

•Apr 05, 2017

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

교육 기관: Richard B

•Nov 11, 2016

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