Computational Neuroscience | FREE Machine Learning course
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| Computational Neuroscience | Machine Learning course |
This course offers an introduction to fundamental computational techniques for analysing the behaviour of neural systems and figuring out how they work. In this section, we'll look at the computational concepts that control different parts of vision, sensory-motor control, learning, and memory. Information representation via spiking neurons, information processing in neural networks, and methods for adaptation and learning are some of the specific subjects that will be explored. To fully grasp the ideas and procedures covered in the course, we will use demonstrations and exercises in Matlab/Octave/Python. The primary target audience for the course is third- or fourth-year undergraduates, beginning graduate students, professionals, and distance learners who are interested in studying how the brain processes information.
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