Electrophysiology-Tutorial-for-Neuroscience

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