Hi  correlgrams are usually in temporal data, I don't see how your data fits this, I

 just to make sure I understand your data, I am mapping it out by variable

 pair #    condition number    result measurement

1             1                             x_11

1          2                               x_12

1     3                                  x_13

1    4                               x_14

...

N    1                          x_N1

N 2                            x_N2

N 3                        x_N3

N 4                      x_N4

 that is, each pair is subjected to 4 different  experimental conditions?   Also have you considered a free language like R

I have indeed temporal data. Each pair is a couple of time series. Each of this couple is recorded in different conditions. I would like to estimate the effect of these conditions on pair firing (i.e. On the time series in each of these 4 conditions) 

Dear Livio Oboti , Many measurements involve data collected asynchronously by multiple sensors. If you want to integrate the signals and study them in tandem, you have to synchronize them. Use xcorr for that purpose. Cross-correlation may used too for time delay measurement between two signals...

• More: https://fr.mathworks.com/help/signal/ug/align-signals-using-cross-correlation.html
• https://fr.mathworks.com/help/matlab/ref/xcorr.html