Multichannel Systems NeuroExplorer - Manual (Page 75)

Create filter on-the-fly Specifies if a temporary interval filter needs to be created (and used to
preselect data).
Create filter around Specifies an event that will be used to create a temporary filter.
Start offset Offset (in seconds, relative to the event specified in Create filter around
parameter) for the start of interval for the temporary filter.
End offset Offset (in seconds, relative to the event specified in Create filter around
parameter) for the end of interval for the temporary filter.
Fix overlaps An option to automatically merge the overlapping intervals in the temporary
filter.
Smooth histogram An option to smooth the histogram after the calculation. See Post-
Processing Options for details.
Smooth Filter Width The width of the smooth filter. See Post-Processing Options for details.
Summary of Numerical Results
The following information is available in the Summary of Numerical Results
Column Description
Variable Variable name.
Reference Reference variable name.
NumRefEvents The number of reference events used in calculation.
YMin Histogram minimum.
YMax Histogram maximum.
Spikes The number of spikes used in calculation.
Filter Length The length of all the intervals of the interval filter (if a filter was used) or the
length or the recording session (in seconds).
Mean Freq. Mean firing rate (Spikes/Filter_Length).
Mean Hist. The mean of the histogram bin values.
St. Dev. Hist. The standard deviation of the histogram bin values.
St. Err. Mean. Hist. The standard error of mean of the histogram bin values.
Algorithm
For the perievent histogram calculation, see
Perievent Histograms .
Let ref[i] be the array of timestamps of the reference event,
sortref[i] be the array of timestamps of the sort event.
If Sort Trials is selected, the following algorithm is used:
1) for each timestamp ref[k], NeuroExplorer finds the smallest sortref[i], such that
sortref[i] > ref[k]
2) the distance between two events is calculated:
dist[k] = sortref[i] - ref[k]
3) the trials ref[k] are sorted array sorted in ascending or descending order of dist[k].
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