Detection of dependence patterns with delay
Résumé
The Unitary Events (UE) method is a popular and efficient method used this last decade to detect dependence patterns of joint spike activity among simultaneously recorded neurons. The first introduced method is based on binned coincidence count (Grün, 1996) and can be applied on two or more simultaneously recorded neurons. This counting method is known to be subject to loss in synchrony detection (Grün and others, 1999). This defect has been corrected by the multiple shift coincidence count (Grün and others, 1999) for discrete time recordings of two simultaneously recorded neurons. This multiple shift coincidence count has recently been transposed in the continuous time framework (Tuleau-Malot and others, 2014) with the notion of delayed coincidence count (also for two neurons). The extension of this count to more than two neurons has not been investigated until the present work.
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