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Yass is an open source, largely automated spike sorting software. It has been developed as a spike-sorting platform for high-firing rate, high-collision, large-spatial extent spikes present in some retinal recordings. It contains several components including: spike event detection using neural-networks, clustering using mixture-of-finite-mixtures approaches, merging and splitting of neurons, and deconvolution steps involving super-resolution and stochastic correction. YASS also implements neuron-template drift model to handle changes in neuron shape over time.
The YASS manuscript is available on Biorxiv (and is currently in submission), we strongly encourage users that have technical questions to review the manusript before submitting new issues: https://www.biorxiv.org/
We are actively looking for beta-testers so feel free to send feedback or requests for participation (see list below).
Phy visualization (alpha) Multi-channel drift tracking (alpha)