samples

 Samples - List of timestamps and corresponding values

 In FMAToolbox, 'samples' refer to matrices in which the first column
 contains timestamps, and subsequent columns optionally contain values
 recorded at these timestamps.

 (Obviously, in functions implementing statistical tests, the word 'samples'
 is used in its usual sense).

  EXAMPLES

    The simplest case is the spike train of a single neuron. This can be des-
    cribed as a list of timestamps:

       t = [ 0.124
             0.242
             0.587
             1.005
             ...
            15.239 ];

    A single local field potential channel contains two columns, one for time
    and one for voltages:

       v = [ 0.0008  562
             0.0016  451
             0.0024  399
             0.0032  410
             0.0040  362
             ...
            15.0480 -109 ];

    Multiple channels would simply require more columns:

       v = [ 0.0008  562  520  680
             0.0016  451  509  702
             0.0024  399  384  716
             0.0032  410  358  673
             0.0040  362  359  644
             ...
            15.0480 -109 -150 -287 ];

0001 % Samples - List of timestamps and corresponding values
0002 %
0003 % In FMAToolbox, 'samples' refer to matrices in which the first column
0004 % contains timestamps, and subsequent columns optionally contain values
0005 % recorded at these timestamps.
0006 %
0007 % (Obviously, in functions implementing statistical tests, the word 'samples'
0008 % is used in its usual sense).
0009 %
0010 %  EXAMPLES
0011 %
0012 %    The simplest case is the spike train of a single neuron. This can be des-
0013 %    cribed as a list of timestamps:
0014 %
0015 %       t = [ 0.124
0016 %             0.242
0017 %             0.587
0018 %             1.005
0019 %             ...
0020 %            15.239 ];
0021 %
0022 %    A single local field potential channel contains two columns, one for time
0023 %    and one for voltages:
0024 %
0025 %       v = [ 0.0008  562
0026 %             0.0016  451
0027 %             0.0024  399
0028 %             0.0032  410
0029 %             0.0040  362
0030 %             ...
0031 %            15.0480 -109 ];
0032 %
0033 %    Multiple channels would simply require more columns:
0034 %
0035 %       v = [ 0.0008  562  520  680
0036 %             0.0016  451  509  702
0037 %             0.0024  399  384  716
0038 %             0.0032  410  358  673
0039 %             0.0040  362  359  644
0040 %             ...
0041 %            15.0480 -109 -150 -287 ];