Workflow from Scientific Research

Matching. UnitMatch extracts key parameters from each waveform (step 1) and uses them to compute similarity scores for each pair of units across all pairs of recordings (step 2). It then uses within-day cross-validation to identify a similarity score threshold for putative matches (step 3). It corrects for drift across recordings (step 4), and repeats steps 2 and 3 to recompute the putative matches. Finally, it builds probability distributions for the similarity scores for putative matches and feeds them to a classifier to assign a probability to every possible match across all pairs of recordings (step 5). The result is a probability for every pair of neurons across all recordings to be a match.

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