OpenSorter is a stand-alone package for sorting neural spike data and is the latest addition to TDT’s OpenEx software suite. OpenSorter offers a number of powerful sorting methods including Bayesian expectation-maximization, k-means, and closest-centers algorithms in addition to manual cluster cutting and waveform selection.
Capabilities include manual, semi-automated, and fully automated processing. Spikes can be sorted as individual channels, batched for fast processing of groups of datasets, or combined across blocks or channels and sorted as a pooled superset.
- High channel count neurophysiology
- Electrical, optogenetic stimulation
- Ephys of navigation