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course-content

NMA Computational Neuroscience course

by NeuromatchAcademy · GitHub
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dynamic-systemsmachine-learningneuroscienceCC-BY-4.0Jupyter Notebook
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Follow a structured schedule and access materials for a computational neuroscience course.

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2026-07-072026-08-31
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📄 About

NMA Computational Neuroscience course

course-content has 3.1k stars on GitHub. It has been forked 1.1k times. course-content is written mainly in Jupyter Notebook. It has been in active development since 2020. course-content is available under the CC-BY-4.0 license. Its main topics are dynamic-systems, machine-learning, neuroscience, stochastic-processes.

Frequently asked questions

What is course-content?

NMA Computational Neuroscience course

Is course-content open source?

course-content is an open-source project. It is released under the CC-BY-4.0 license.

Is course-content free?

Yes. course-content is free and open source — you can use, modify and self-host it.

What license does course-content use?

course-content is available under the CC-BY-4.0 license.

What language is course-content written in?

course-content is written mainly in Jupyter Notebook.

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