The following m files are included:
discrimination_MLE.m
Calculates the discrimination ability of a given population of neurons.
This program may take an hour to run
categorization_llikhd.m
Calculates the identification ability of a given population of neurons.
This program may take 4 minutes to run.
Both scripts above use the following helper functions:
MNRRS.m
Gets the response of the population of neurons to a specific frequency.
likhood.m
The likelihood function (equation 2 in manuscript)
get_params.m
The parameters used for the simulation (population parameters and testing parameters)
Editing this file will suffice to change population or testing parameters
smth_gass_distr.m
Helper function for get_params to redefine over-representation.
categorization_llikhd also includes:
binornd_sim.m
The Bernoulli random process simulation (Eq 5 in paper)
In addition, the following mat files are included:
discr_temp.mat
output expected at line 93 of discrimination_MLE
to plot, use lines 98-103
ident_temp.mat
output expected at line 68 of categorization_llikhd
to plot, use lines 73-78
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