SpikeInterface
@spikeinterface.bsky.social
SpikeInterface is an open-source Python framework for analysis of electrophysiology data and spike sorting.
Among other tons of updates and bug fixes, we improved the processing of groups and add a preprocessing pipeline feature, included "splitting" in the curation module, added/updated new sorters, postprocessing extensions, and quality metrics! 🚀🚀🚀
⚠️ Watch out for deprecations ⚠️
⚠️ Watch out for deprecations ⚠️
July 31, 2025 at 3:08 PM
Among other tons of updates and bug fixes, we improved the processing of groups and add a preprocessing pipeline feature, included "splitting" in the curation module, added/updated new sorters, postprocessing extensions, and quality metrics! 🚀🚀🚀
⚠️ Watch out for deprecations ⚠️
⚠️ Watch out for deprecations ⚠️
The major new feature is the auto_label_units function, which allows you to label units from pre-trained models.
Of course we have pre-trained some models for you and they are available on HuggingFace, and they can be applied with a few lines of code.
See detailed tutorials here!
bit.ly/3EmxJR1
Of course we have pre-trained some models for you and they are available on HuggingFace, and they can be applied with a few lines of code.
See detailed tutorials here!
bit.ly/3EmxJR1
Tutorials — SpikeInterface documentation
spikeinterface.readthedocs.io
February 7, 2025 at 2:53 PM
The major new feature is the auto_label_units function, which allows you to label units from pre-trained models.
Of course we have pre-trained some models for you and they are available on HuggingFace, and they can be applied with a few lines of code.
See detailed tutorials here!
bit.ly/3EmxJR1
Of course we have pre-trained some models for you and they are available on HuggingFace, and they can be applied with a few lines of code.
See detailed tutorials here!
bit.ly/3EmxJR1