NeuromatchAcademy/course-content
Open-access Jupyter Notebook course teaching computational neuroscience with machine learning and dynamic systems models.
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This repository contains the syllabus, schedules, and Jupyter Notebook materials for the Neuromatch Academy Computational Neuroscience course. The course covers topics including dynamic systems, machine learning techniques, and stochastic processes applied to neuroscience problems. Content is structured as daily tutorials for a multi-week program and is primarily delivered via interactive notebooks intended for learners.
Frequently asked
- What is NeuromatchAcademy/course-content?
- Open-access Jupyter Notebook course teaching computational neuroscience with machine learning and dynamic systems models.
- Is course-content open source?
- Yes — NeuromatchAcademy/course-content is open source, released under the CC-BY-4.0 license.
- What language is course-content written in?
- NeuromatchAcademy/course-content is primarily written in Jupyter Notebook.
- How popular is course-content?
- NeuromatchAcademy/course-content has 3.1k stars on GitHub.
- Where can I find course-content?
- NeuromatchAcademy/course-content is on GitHub at https://github.com/NeuromatchAcademy/course-content.