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.
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Neurosciences computationnelles
Université de WashingtonÀ propos de ce cours
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Essayez Coursera pour les affairesCompétences que vous acquerrez
- Computational Neuroscience
- Artificial Neural Network
- Reinforcement Learning
- Biological Neuron Model
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Programme de cours : ce que vous apprendrez dans ce cours
Introduction & Basic Neurobiology (Rajesh Rao)
What do Neurons Encode? Neural Encoding Models (Adrienne Fairhall)
Extracting Information from Neurons: Neural Decoding (Adrienne Fairhall)
Information Theory & Neural Coding (Adrienne Fairhall)
Avis
- 5 stars71,40 %
- 4 stars22,30 %
- 3 stars3,90 %
- 2 stars1,60 %
- 1 star0,80 %
Meilleurs avis pour NEUROSCIENCES COMPUTATIONNELLES
A very nice introduction to Computational Neuroscience world. The main course advantage is the matching between theory and practice (programming).
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.
As a self-paced student, I like this kind of course. I hope to see a whole specialization in this field with final capstone project. Thanks.
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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