High-performance MEX implementation of Spike Time Tiling Coefficient.

• Originally written by Catherine S Cutts (2014): https://github.com/CCutts/Detecting_pairwise_correlations_in_spike_trains/blob/master/spike_time_tiling_coefficient.c
• See the original paper: https://www.ncbi.nlm.nih.gov/pubmed/25339742

IMPORTANT:

If you don't have the appropriate .mex version of your .c script (e.g. .mexmaci64 for OSX, .mexw64 for Windows), you need to first run in command window:

mex STTC.c -R2018a

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List of core files

File	Function
STTC.c	Main script for STTC
get_sttc.m.	Parses inputs from MATLAB and passes them to sttc.c
adjM_thr_JC.m	Runs probabilistic thresholding of adjacency matrix output by get_sttc.m. Slow but with plots for troubleshooting.
adjM_thr_parallel.m	Parallel computing version of adjM_thr_JC.m. Much faster but does not support plotting.
significance_distribution_plots.m	Dependency of adjM_thr_JC.m, plots the evolution of threshold weights over iterations
cmocean.m	Perceptually uniform (colorblind friendly) colormaps. See: https://uk.mathworks.com/matlabcentral/fileexchange/57773-cmocean-perceptually-uniform-colormaps.

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Auxillary files

• cshift.c runs ultra-fast circular shifts on binary arrays. Not used - requires inefficient conversion from event times to binary event matrix.
• cshift_test.m rough draft of some of the utilities now moved to adjM_thr_JC.m.