Open Education Resources
Learning without barriers.
We believe in open science and open education. That's why all of our course materials are available for free all the time for everyone, everywhere.
High Quality.
Free to Use.
We work with a network of individual contributors, labs, and organization-level partners around the world to build course materials that are open source and open access on Github.
You can easily contribute to these materials or use them in your own courses, classrooms, or summer schools. All materials are CC-BY licensed and hosted on Github as a modular collection of Jupyterbooks which makes them easily forkable, adaptable, and splittable.
Python (course prerequisites)
Python Workshop
- Day 1
- Learn basic operations with Python variables, control flow, plotting, and take a sneak peek at np.array, the workhorse of scientific computation in Python.
- Day 2
- Introduction to spikes in our LIF neuron and evaluate the refractory period’s effect in spiking dynamics.
Climate Specific Python Resources
- Coursebook Link
- Leveraging Project Pythia's open education tutorials, you'll find specific tutorials that align with the Python concepts needed to be successful in the Computational Tools for Climate Science course.
Climate Science
Computational Tools for Climate Science - Github Link – Coursebook Link
- This course starts with the fundamentals for understanding climate science data and research and then goes over different types of climate data, future of the climate system, and responces to climate change all through a computational lens.
- Equivalent to 10 full days of instruction plus bonus materials.
Neuroscience
Computational Neuroscience - Github Link – Coursebook Link
- Board-reaching curriculum in computational neuroscience that will expose you to both theoretical modeling and more data-driven analyses.
- Equivalent to 15 full days of instruction plus bonus materials.
NeuroAI - Github Link – Coursebook Link
- Neuroscience, cognitive science, and AI are all questing for principles that help generalization. This course goes over major system features that affect generalization include: task structure, microcircuitry, macrocircuitry or architecture, learning rules, and data stream.
- Equivalent to 10 full days of instruction.
Machine Learning
Deep Learning - Github Link – Coursebook Link
- You’ll learn core topics in DL, including linear DL, optimization, regularization, NLP, generative models, unsupervised learning, and reinforcement learning.
- Equivalent to 15 full days of instruction plus bonus materials.
NeuroAI - Github Link – Coursebook Link
- Neuroscience, cognitive science, and AI are all questing for principles that help generalization. This course goes over major system features that affect generalization include: task structure, microcircuitry, macrocircuitry or architecture, learning rules, and data stream.
- Equivalent to 10 full days of instruction.
Open Science
Open Science 101 - GitHub Link – Coursebook Link
- Developed by NASA, this curriculum introduces learners to a basic understanding of open science, its ethos and benefits, and how to actively participate in open science communities.
- Equivalent to 5 partial days of content.
How to Credit Neuromatch
We’re thrilled when people reuse and adapt Neuromatch materials to support learning in their communities. While we encourage this, external uses aren’t officially reviewed or endorsed by Neuromatch. If you reuse or adapt them, please include attribution, a link to the source materials, and a link to the CC-BY 4.0 license. If you make modifications, indicate what you changed. For full details, see the License file in each course book/github repo.
Examples of Attribution
Academic/Formal publication citation
“Neuromatch Academy. (Accessed [Month, Day, Year]). [Course Name] course content. Open educational resource. GitHub. [Github link].”
Syllabus (adapted)
“We adapted materials from Neuromatch Academy’s [Course Name] under a CC‑BY 4.0 license. In our version, we updated the data examples and modified several exercises to better fit our students’ background. Full materials and original license: [Github link].”
Syllabus (no adaptation)
“We used materials from Neuromatch Academy’s [Course Name] under a CC‑BY 4.0 license. Full materials and original license: [Github link].”
Webinar/Talk
“The learning materials discussed are adapted from Neuromatch Academy’s [Course Name] materials under a CC‑BY 4.0 license. We will share a link [in the chat/afterwards in an email/in the handout] to the full materials.”
