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Unitary event analysis is a new method for detecting episodes of synchronized neural activity (Riehle, Grün, Diesmann, & Aertsen, 1997). It detects time intervals that contain coincident ring at higher rates than would be expected if the neurons red as independent inhomogeneous Poisson processes; all coincidences in such intervals are called unitary events (UEs). Changes in the frequency of UEs that are correlated with behavioral states may indicate synchronization of neural ring that mediatesdoi:10.1162/089976600300015060 pmid:10976139 fatcat:ilbpb7xqozajfawpxsmudwy7vi