TDT OpenSorter is a stand-alone software package for sorting neural spike data. It offers powerful sorting methods such as Bayesian expectation-maximization, k-means, and closest-centers algorithms, as well as manual cluster cutting and waveform selection. It supports manual, semi-automated and fully automated processing, and can be used to sort individual channels, batches of datasets, or pooled supersets across blocks or channels.
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