Resolution:
## Figure 2.
Structure of the main routines in the ToolBox. The core function is entropy.m which allows to compute the entropy-like quantities which constitute the building
blocks for the calculation of mutual information and of all the other breakdown terms.
It is important to note how the modular structure allows for new methods and extrapolation
procedures to be easily created and linked to the existing software. In particular,
starting with the next release of the toolbox, users will be given the opportunity
to easily plug-in their custom bias correction m-files in order to extend the capabilities
of the existing code. Other routines in the toolbox are available for the pre-processing
of the input to entropy.m. buildr.m allows to build the response-matrix to be fed to the information routines starting
from L + 1 -long arrays: the first array stores a list specifying, for each trial, which stimulus
was presented to the subject while the L remaining arrays specify the L corresponding recorded responses. binr.m allows to discretize continuous response-matrices – prior to calls to entropy.m with the the Direct Method – according to a binning method chosen among a list of
available binning options. Again, users are given the possibility to define their
own binning strategy (in addition to the built-in binning methods) and to easily link
their code to the toolbox. Finally, information.m is a wrapper around entropy.m which directly computes the breakdown terms by combining the outputs from this main
function, thus skipping all the complex computations necessary for the the calculation
of the breakdown quantities.
Magri |