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Code from Schoppik, Nagel & Lisberger published in Neuron 2008
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README.md
aggregate.m
aggregate_pairs_tbtv.m
digitaldiff.m
getfilter.m
minimize_variance.m
mp.m
mp2.m
myconv.m
mycorr.m
mycov.m
nbnv_final_tbtv.m
parsetrials.m
prepare.m
prepare_pairdb.m
simulateResidualModel.m
sm.m
smartCov.m
tbtv_final.m
tbtv_final_above.m
tbtv_final_aligned.m
tbtv_final_below.m
tbtv_final_forward.m
tbtv_final_position.m
tbtv_final_short.m

README.md

SchoppikNagelLisberger2008

Code from Schoppik, Nagel & Lisberger published in Neuron 2008

All relevant MATLAB code (92 KB) summarized briefly below. Functions not described are support functions

prepare.m -- Will re-create the unit???.mat files that comprise the analyzed data for each cell. Calls over 20GB of original files; if you really want to run this, please let me know and I'll make the original trial files available. I'd have to go dig through old hard drives, so

aggregate.m -- extracts the relevant data from multiple single units, requires the unit???.mat files

aggregate_pairs_tbtv.m -- extracts the relevant multiple pairs, requires the pair???.mat files

smartCov.m -- generates correlation or covariation matrices with a known mean and variance

mp.m,mp2.m,sm.m -- will generate the figures from the output of aggregate.m

simulateResidualModel.m -- runs the model that comprises the supplementary figure

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