Spike detection and automatic clustering for spike sorting
klusta is an open source package for automatic spike sorting of multielectrode neurophysiological recordings made with probes containing up to a few dozens of sites. klusta implements the following features: - Kwik: An HDF5-based file format that stores the results of a spike sorting session. - Spike detection (also known as SpikeDetekt): an algorithm designed for probes containing tens of channels, based on a flood-fill algorithm in the adjacency graph formed by the recording sites in the probe. - Automatic clustering (also known as Masked KlustaKwik): an automatic clustering algorithm designed for high-dimensional structured datasets.
You can contact the maintainers of this package via email at
python-klusta dash maintainers at fedoraproject dot org.