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neural-data-science-course

Neural Data Science

Open learning for systems neuroscience

About

Neural Data Science is a course on fundamental quantitative methods for systems neuroscience, with a focus on practical applications and good programming practices. The course is open for everyone to use, modify and extend.

How to use the material

The course is organized in independent modules, each with its own folder, that you can find below 👇.
Browse the material in the course website https://neural-data-science-course.github.io/index.html, pick the module(s) you are interesed in, then follow the instructions in the module readme to download and install the material.
You'll be ready to start learning in a matter of minutes!

Contribute

Did you find a bug in the material? Something is missing?
If you want to report issue or to contribute to the course material, follow the contribution instructions on the website.
Every contributor's work will be aknowledge.

Popular repositories

  1. single-cell-analysis single-cell-analysis Public

    Jupyter Notebook 5 1

  2. neural-data-science-course.github.io neural-data-science-course.github.io Public

    An open source course on programming and analysis methods for systems neuroscience

    R 2

  3. neural-data neural-data Public

    Jupyter Notebook 1 3

  4. research-software-developement research-software-developement Public archive

  5. population-methods population-methods Public

    Jupyter Notebook

  6. module-template module-template Public template

    module template for the Neural Data Science course

    Jupyter Notebook

Repositories

Showing 9 of 9 repositories

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