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2.36. Autocorrelograms Versus Time

This analysis shows the dynamics of the autocorrelograms over time. It calculates multiple

autocorrelograms using a "sliding window" in time. Each autocorrelogram is shown as a vertical stripe

with colors representing the bin counts. Horizontal axis represents the position of the sliding window

in time.

Parameters

Parameter Description

XMin AutoCorr Autocorrelogram time axis minimum in seconds.

XMax AutoCorr Autocorrelogram time axis maximum in seconds.

Bin AutoCorr Autocorrelogram bin size in seconds.

Normalization Histogram units (Counts/Bin, Probability or Spikes/Second). See Algorithm

below.

Start Start of the first sliding window in seconds.

Duration Duration of the sliding window in seconds.

Shift How much sliding window is shifted each time.

Number of shifts The number of sliding windows to be used.

Matrix Scale Specifies color scale for drawing matrix.

X Axis (Sliding window

axis alignment)

Allows to specify what values are shown in the sliding window axis. There

are two options: Start of Window and Center of Window.

Suppose your data has the strongest correlation at 50 seconds. This

means that the window that has 50 seconds as its center will show the

highest autocorrelation values. If the window width is 20 seconds, it will be

the window [40,60]. If you are using 'Start of window' option, you will see

the peak at 40 instead of 50 seconds. However, with 'Center of window'

option, the peak will be at 50 seconds.

Smooth 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.

Select Data If Select Data is From Time Range, only the data from the specified (by

Select Data From and Select Data To parameters) time range will be used

in analysis. See also Data Selection Options.

Select Data From Start of the time range in seconds.

Select Data To End of the time range in seconds.

Interval filter Specifies the interval filter that will be used to preselect data before

analysis. See also Data Selection Options.

Send to Matlab An option to send the matrix of numerical results to Matlab. See also

Matlab Options.

Matrix Name Specifies the name of the results matrix in Matlab workspace.

Matlab command Specifies a Matlab command that is executed after the numerical results

are sent to Matlab.

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Multichannel-systems NeuroExplorer Manual do Utilizador Página 119