Volver a Neurociencia computacional

4.7

586 calificaciones

•

137 revisiones

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....

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.

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.

Filtrar por:

por Rob C

•Mar 03, 2019

Great course! Really enjoyed the variety of topics and the just enough computational work in the quiz's. And that Eigen hat had me smiling and laughing about it for a week.

por 王桢

•Feb 08, 2018

This course is a good start for learning computational neuroscience. I have learned how a single neuron processing signal and how to modeling this interesting process through mathematical and computational methods. I also learned the idea and models of the adaption of synapsis and coding of a group of neurons, which form the basis of memory and learning. The course also gave a brief intro to reinforcement learning, unsupervised learning and supervised learning and I can't wait to explore the fascinating world of deep learning.

However, I think the course focusing a lot on the modeling of a single neuron rather than the modeling of a group of neurons. I think expanding the content and depth on neuron network would help the students have a better understanding on the memory or learning process. Also, the lectures in this course are very wide, whereas the quizes, although really help on understanding the lectures, are just related to some parts of the lectures. I think it would be better if the lectures closer relate to the quizes or give us a hint on where to look in the textbook in order to have a better understanding of the lectures.

Really appreciate all your efforts! learning how our brain works and the origin of our consciousness which I think is the ultimate topics of human being has always been my dream. I'm glad that this course enabled me to move closer to my dream

por DANIEL V

•Feb 05, 2017

I very much enjoyed the course overall. Lectures from week 2 to week 5 were a little bit tedious in my opinion, not because of the content, but due to the way the lecture was presented. I suggest that by the end of the course, one could see the correct answers (with explanation) of the quizzes, since that would help learning. I enjoyed the course and I learned a lot. I thank the coursera staff and the UW faculty who made this possible.

por Amit T

•May 27, 2018

This is a wonderful start for a biologist , to get idea of concepts of learning . An advanced course focused more on brain circuitry is suggested.

Thanks a lot

por Conor M

•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.

por George P

•Jan 13, 2018

Its a summation of summation of Conputational Neuroscience. Each week of this course could be a whole different course that really delves into the subject and not just presenting it. Video lessons were spamming you super compressed information. Some videos were sloppy and not helpful at all.

In addition, there are no helpful videos with examples-exercises that could really reinforce your learning. From the instructors I could only understand Rajesh Rao. Supplementary Video Tutorials by Rich Pang were awesomely simplistic and understandable but not enough for this course... All we need is more detailed and well explained examples...

In sort, after successfuly completing the course, I can say that I havent really learned anything. Just a glimpse of what neuroscience is all about... I ve seen better courses. I believe this course should be renamed to "An Introduction to Computational Neuroscience"

por Roberto E

•Jul 27, 2017

It goes from too simple to very complex in few seconds.

por Zeqian L

•Nov 17, 2017

This course felt really sketchy. Lectures were going way too fast and kept skipping concepts and derivations. Not bad if one only wants a superficial grasp of these concepts, but definitely not worth the price.

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 Fridah G W K

•Dec 23, 2018

Great learning experience

por Wei X

•Dec 12, 2018

Enlightening! After this course, one know how the architecture came from.

por Changjia C

•Jan 05, 2019

Fantastic course! I enjoy it and love it very much. Thanks Rajesh and Adrienne!

por Руслан К

•Feb 26, 2019

Интересный курс для введения в вычислитетльную нейробиологию)

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 Vikrant J

•Mar 16, 2019

Computational Neuroscience is a well structured, insightful and methodical course. There were so many moments when I was dumbstruck by the power which our brain has, that I've lost the count of them! As a biophysics, signal processing enthusiast, I'm considering to go for higher studies in the field of Neuroscience and this course has just made my decision unequivocal. Big kudos to the instructors Prof. Rao and Prof. Fairhall for their inputs for both, the content of the course and sharing their research material! I can't wait to explore the brain to its fullest! :D

por ANGELOS A

•Dec 14, 2018

Very interesting course,

exciting subject!!!

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

Congratulations!!!

por Paridhi K

•Dec 01, 2018

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

por faisal k

•Aug 03, 2018

very effective course for Researchers

por saurabh k p

•Oct 20, 2018

Amazing Course with difficult challenges , hats off to professors :)

por 潘宜城

•Oct 24, 2018

nice course which teach me about what neurons can do and how can we model them with mathmatics

por Krishnakanth A

•Nov 04, 2018

Very interesting and well organised course.

por Maxwell G

•Mar 16, 2017

I loved this course. It is an excellent introduction to the realm of Computation Neuroscience. The lecturers presented the concepts clearly and effectively. Dr. Rao was especially great. However, those looking to take this course should have some knowledge of Differential Equations, Calculus, Linear Algebra, and either Python or Matlab before taking this course.

I had not taken very much Calculus or Differential Equations prior to taking this course, and I had to do a fair amount of external research to understand some aspects of the lectures.

The professors who teach this course do a great job of explaining the concepts and ideas of the topic, rather than just reading lots of formulas. They break the math down to help the viewer intuitively understand what each one is doing. Someone taking this course who doesn’t not have that solid of a math background will have some trouble, but the course won’t be impossible. A bit of Programming experience with either Python (2 or 3) or Matlab, however is a must.

por Adam E

•May 22, 2017

Comprehensive and challenging.

por Andrés Z

•Apr 18, 2018

By far one of the most complete MOOCs in the subject. Highly recommended.

por AmirHossein E

•Mar 26, 2017

This course is an absolute must for those interested in computational neuroscience. The professors are very knowledgeable and the course is very rigorous. The techniques introduced in this course are useful and the supplementary material is enough to last for you months of reading on this topic.

Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.