Electrophysiology-Tutorial-for-Neuroscience
Version 1.2 (4,83 Mo) par
Shubo Chakrabarti
This is a tutorial for key data analysis steps used by neuroscientists - filtering, spike extraction, PCA, clustering, and spectral analysis
This tutorial shows how neuroscientists can use MATLAB to analyze neural signals. This includes best practices on
1. reading in diverse neural data
2. representing time-series data
3. filtering, smoothing, resampling data
4. clustering waveforms using PCA and Gaussian mixture models
5. frequency domain and time-frequency analyses
For those new to programming, several steps can be achieved with the MATLAB Signal Analyzer App - a click-and-point interface that generates code.
For mid-level programmers, this tutorial can be the starting point for more complicated signal processing and analysis workflows
For experts, this is a good tutorial for teaching the basics of neural signal analyses
To run this Live Script check if you have a MATLAB license from your school or university. If not, you can download a free trial for 30 days.
For a Japanese language version, check this entry
Citation pour cette source
Shubo Chakrabarti (2024). Electrophysiology-Tutorial-for-Neuroscience (https://github.com/MathWorks-Teaching-Resources/Electrophysiology-Tutorial-for-Neuroscience/releases/tag/v1.2), GitHub. Récupéré le .
Compatibilité avec les versions de MATLAB
Créé avec
R2020b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS LinuxCatégories
- Sciences > Neuroscience > Teaching Resources >
- Sciences > Neuroscience > Cellular Neuroscience > Electrophysiology >
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Version | Publié le | Notes de version | |
---|---|---|---|
1.2 | See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Electrophysiology-Tutorial-for-Neuroscience/releases/tag/v1.2 |
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1.1 | See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Electrophysiology-Tutorial-for-Neuroscience/releases/tag/v1.1 |
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.