Course description
Computational Neuroscience is a complete course to teach an introduction to basic computational methods for understanding what neural systems do and for determining how they work. We will examine the computational principles governing various aspects of vision, sensorimotor control, learning, and memory. Specific topics that will be covered include information representation by spiking neurons, information processing in neural networks, and algorithms for adaptation and learning. We will use Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of the concepts and methods introduced in the course.
What you will learn in this course:
- Computational neuroscience
- Artificial Neural Networks
- Reinforcement learning
- Biological neuron model
Who is this course suitable for?
- This course is primarily for third- or fourth-year undergraduate students and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information.
Course specifications :
- Publisher: Coursera
- teacher : Rajesh PN Rao , Adrienne Fairhall
- English language
- Training level: beginner
- Duration of the course: about 26 hours
- Number of headings: 8
- File format: mp4
- Providing institution/university: University of Washington
Course headings :
Course prerequisites:
- There is no prerequisite for this course
Computational Neuroscience images
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1.21 GB
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