The Essentials of Neuroscience With MATLAB course was developed to provide advanced undergraduates and early graduate students with a basic familiarity with MATLAB programming with an opportunity to deepen their expertise in neuroscience data analysis using MATLAB. Each module covers a range of specific data processing, analysis, and visualization skills that neuroscientists often need. In the process, each module teaches a specific set of MATLAB skills, although there is (both necessarily and by design) some overlap in skills across modules.
Each module consists of:
- 🎞️ video instruction (hosted on YouTube; direct video links in each module folder)
- 🧑💻 a code exercise (hosted here on GitHub; coupled with the video instruction)
- 💾 sample data, if applicable (hosted on INCF TrainingSpace; downloaded automatically)
- 🎒 a homework exercise (available for educators upon request)
The course is designed for cumulative educational flow, such that maximal benefit will come from taking the modules in order. However, module access is unrestricted, which means that students will have the flexibility to custom-tailor their course progression if they wish to deviate from the recommended path.
| # | Module | Skills taught | Code Exercise |
|---|---|---|---|
| 1 | Spiking data |  |
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| 2 | EEG | |
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| 3 | Simulation | |
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| 4 | fMRI | |
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| 5 | Calcium Imaging | |
Enjoy!