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Keywords: Spike detection; Spike sorting; Spike train analysis; Extra-cellular recording; Tetrode; Electrophysiology; Multi-unit recording; Single-unit recording; Cluster analysis; Superposition resolution; MATLAB; Accuracy quantification; Object Oriented Programming;
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ConditionalMean Tool (Under Development)                   



Summary

“Understanding the statistical interdependence of inter-event intervals cannot be stressed enough if we desire as complete a characterization as possible of a point process" (D.H. Johnson, 1996). The ConditionalMean tool examines whether or not the inter-event intervals have a first order dependence structure.

Screen Shot




Details

CM(b) = The expected value of the (n+1)th interevent interval given that the nth interval was in bin "b".
The ConditionalMean tool includes the following options:
Show the mean value of the next interval given the previous interval was within a given bin.
Show the criterion curves that would apply if the events were well described by a renewal process.
Show the standard of the error.
Show some of the actual data points in a scatter plot.
 
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