Tutorials
Longer form tutorials about using SpikeInterface. Many of these are downloadable as notebooks or Python scripts so that you can “code along” with the tutorials.
If you’re new to SpikeInterface, we recommend trying out the Quickstart tutorial first.
Updating from legacy
Core tutorials
These tutorials focus on the spikeinterface.core module.
Extractors tutorials
The spikeinterface.extractors module is designed to load and save recorded and sorted data, and to handle probe information.
Quality metrics tutorial
The spikeinterface.qualitymetrics module allows users to compute various quality metrics to assess the goodness of a spike sorting output.
Automated curation tutorials
Learn how to curate your units using a trained machine learning model. Or how to create and share your own model.
Comparison tutorial
The spikeinterface.comparison module allows you to compare sorter outputs or benchmark against ground truth.
Widgets tutorials
The widgets module contains several plotting routines (widgets) for visualizing recordings, sorting data, probe layout, and more.
