Multichannel Systems NeuroExplorer User Manual

Page 88

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to the matrix of numerical results.

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.

Send to Excel

An option to send numerical results or summary of numerical results to
Excel. See also

Excel Options

.

Sheet Name

The name of the worksheet in Excel where to copy the numerical results.

TopLeft

Specifies the Excel cell where the results are copied. Should be in the form
CR where C is Excel column name, R is the row number. For example, A1
is the top-left cell in the worksheet.



Summary of Numerical Results


The following information is available in the Summary of Numerical Results

Column

Description

Variable

Variable name.

YMin

Spectrum minimum.

YMax

Spectrum maximum.

Spikes

The number of spikes used in spectrum 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).

First Minimum
Frequency Position

The position of the minimum of the displayed spectrum (in Hz). If there are
multiple bins in the spectrum where the spectrum value equals to the
spectrum minimum, this value represents the frequency of the first such
bin.

First Maximum
Frequency Position

The position of the maximum of the displayed spectrum (in Hz). If there are
multiple bins in the spectrum where the spectrum value equals to the
spectrum maximum, this value represents the frequency of the first such
bin.


Algorithm


Spectral Densities for Spike Trains and Events


NeuroExplorer uses rate histograms to estimate the power spectra of the spike trains. The
parameters of rate histograms are calculated using the following formulas:


Bin = 1./(2.* Maximum_Frequency )


Number_of_Bins = 2* Number_of_Frequency_Values


The time axis is divided into intervals of length Bin*NumberOfBins. Then the power spectrum for each
interval is calculated. The final raw power spectrum is the average of all the spectra for the separate

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