main.m details typical usage: loading data, preparing calculations,
running calculations and making some plots.
place the following two files containing your data in a folder
such as peach/:
-
stas.matshould contain a struct with fields: -stas(i).spikesthe list of spike times of cell i -stas(i).spatialthe spatial component of the STA of cell i -
cone_params.matcontains a struct with fields: -stimulus_variance: variance of each stim pixel color chanel (usually 1) -supersample: the integer number of cone positions per pixel width/height (usually 4) -colors: 3x3 matrix of cone color sensitivities -support_radius: radius of cone receptive field filter (usually 3.0) -repulsion_radii
see fullstas2stas.m for an example of how to make stas(i).spatial from raw data
the current main.m saves results from GREEDY.m, MCMC.m and CAST.m
to the current folder.
a new folder is created by make_plots.m reflecting the name of the
dataset; all appropriate plots are placed in it.
some plots are in .svg format; these files need evidence.png to live
alongside them in the same folder; in order for these plots to be automatically
converted to pdf, there must be a folder called batik/ containing a working
version of Apache Batik
in the same directory as main.m.
one of the plots for MCMC and CAST output is dancing_cones_movie.svg;
this movie can be viewed by opening it in a modern browser.
most important files are commented; M2HTML is your friend