CED Spike2: Data processing, Script language

Data processing using the script language

As well as commands for implementing all the built-in data processing functions described above, the Spike2 script language has full access to the data as arrays of waveform values or marker times. Within the script language there are many commands and mathematical functions for use with arrays, matrices and individual values. Results may then be placed back into a data file, or to another type of view, or output for further analysis.

Typical commands include:

ChanData()

Fill an array with a waveform or event times

ChanMeasure()

Take specified measurements from a channel

ArrFFT()

Perform spectral analysis on result views, or data array

ArrFilt()

Applies a FIR filter to an array

ArrSort()

Sort an array and optionally order others in the same way

ArrSpline()

Interpolate one array to another using cubic splines

MATDet()

Calculate the determinant of a matrix

MATSolve()

Solve a set of linear equations

MATTrans()

Transpose a matrix

PCA()

Principal component analysis (singular value decomposition)

Exp()

Exponential function of a number or array

Log()

Logarithm to base 10 of a number or array

The script language also contains a function for converting events to waveform format. Although similar functionality is available through the use of virtual channels, the EventToWaveform() command gives the added benefit of allowing the resultant waveform to be smoothed with a user-defined shape which may be asymmetrical.