    ********************************************************************************
    *  Probabilistic Inference of Short-term Synaptic Plasticity - inference code  *
    *  Model: Tsodyks-Markram (2-4 parameters)				       *
    *									       *
    *  Version: v0.1 (06/2013)						       *
    *  Author: Rui P. Costa (rui.costa@ed.ac.uk)				       *
    *  Weblink: http://senselab.med.yale.edu/modeldb/ShowModel.asp?model=149914    *
    ********************************************************************************

    >> How to install:

     1 - Install Matlab (with Statistical Toolbox).
     2 - Open Matlab > Go to STPInference folder

    >> How to run:

     1 - Type TM_GUI in the command line
     2 - Open a XLS file (example given in data/examplePCPC.xls) Options:
          Age, frequency and minimum number of pulses.
     3 - Press Run (should take approximately one minute per datapoint)
     4 - The maximum a posterior (MAP) solutions are given in the main
     window and the respective coefficient of determination (R^2). This is
     a subset of the information in the paper's Fig. 4b and Fig. 6a, only
     for one of the connection types (PC-PC) and a subset of the
     datapoints (n=3):

     5 - Finally, the plots (posterior and MAP solutions) can be saved in
     PDF format

    >> Problems:

       - If the toolbox Kernel Density Estimation (KDE) Toolbox
         (http://www.ics.uci.edu/~ihler/code/kde.html) is not recognised,
         delete the current version, download and compile it in the
         STPInference/toolboxes directory.