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Lussac is an automated and configurable analysis pipeline for post-processing and merging multiple spike-sorting analyses.

The goal is to improve the yield and quality of data from multielectrode extracellular recordings by merging the outputs of different spike-sorting algorithms and/or multiple runs with different parameters.

For more information, check out our preprint: link to come.

Lussac: origins

When we started development of Lussac, our goal was to improve cerebellar complex-spikes detection (which is a rather big problem with extracellular recordings of the cerebellar cortex).

This resulted in a principled method for automating the post-processing and for combining multiplie analyses from different packages and using different parameters, a finding that was not of benefits only to the cerebellum.

Beta version

Lussac is still in Beta version. We are working on an improved version (using the newest version of SpikeInterface, ProbeInterface, more intuitive use, improved modules, and more...).

We would love some feedback on the beta version to try to make the improved version useful for everyone.

Results

We tested our algorithm using a synthetic data set simulating cortical pyramidal cells and interneurons activity (Jun et al. 2017) available through SpikeForest. Since all spike times of all neurons are known, we could easily compare our algorithm to standard runs of a single spike-sorting algorithm in terms of recovery and contaminating events.

TODO: insert figure.