Computational Neuroscience OpenCourseWare: MIT's Free Bachelor Level Course on Computational Neuroscience
This undergraduate course, part of MIT's Department of Brain and Cognitive Sciences, describes the brain and how it works with respect to processing and maintaining information. As part of OpenCourseWare, 'Introduction to Computational Neuroscience' is free to any student, but it is designed for those who have a background in physics, chemistry, linear algebra and biology and who know how to use MATLAB software.
Introduction to Computational Neuroscience: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Undergraduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Introduction to Computational Neuroscience: Course Description
In this MIT OpenCourseWare about neuroscience and cognitive science, students study how the brain interacts and reacts to input from the body's five senses, especially vision, as well as how it stores that information for future retrieval. The course examines three ways that neuroscientists study the brain. Some scientists look at how neurons in the brain actively code and store information. Some, like Huxley and Hodgkin, focus on single neurons and how they relate to each other. The third group studies what happens when neurons interact and network. Professor Sebastian Seung taught this class as part of the curriculum for a Bachelor of Science in Brain and Cognitive Sciences from the Massachusetts Institute of Technology. 'Introduction to Computational Neuroscience' requires some advanced scientific and mathematical knowledge and the ability to work with MATLAB software.
This Neuroscience course includes lecture notes, a detailed list of articles for each lecture topic, problem sheets and the files needed to complete them. For more information, visit this computational neuroscience course webpage.
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