Course Overview
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.
What you will learn from this course
- 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)
- Computing in Carbon (Adrienne Fairhall)
- Computing with Networks (Rajesh Rao)
- Networks that Learn: Plasticity in the Brain & Learning (Rajesh Rao)
- Learning from Supervision and Rewards (Rajesh Rao)
Course Duration: 26 Hours
Course Rating : 4.6
Corse Instructors :Rajesh P. N. Rao and Adrienne Fairhall
Offered By: University of Washington
Can I download Computational Neuroscience course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Computational Neuroscience course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.comDisclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
