Spike Train Analysis Toolkit Function Reference

Spike Train Analysis Toolkit Documentation

`Contents`	Spike Train Analysis Toolkit table of contents.
`binless`	BINLESS Binless method analysis.
`binless_jack`	BINLESS_JACK Binless method analysis with leave-one-out jackknife.
`binless_shuf`	BINLESS_SHUF Binless method analysis with shuffled inputs.
`binlessembed`	BINLESSEMBED Embed the data with the Legendre polynomials.
`binlessinfo`	BINLESSINFO Compute information components using binless method.
`binlessopen`	BINLESSOPEN Extract useful information for binless method.
`binlesswarp`	BINLESSWARP Warp spike times.
`bootstrap_pr`	BOOTSTRAP_PR Politis-Romano method for correlated bootstrap
`correlated_bootstrap`	CORRELATED_BOOTSTRAP Calculate correlated bootstrap samples of P(X(t))
`ctwmcmc`	CTWMCMC Context-tree weighted method analysis to estimate information.
`ctwmcmcbridge`	CTWMCMCBRIDGE Build CTW tree graph(s) and make MCMC samples.
`ctwmcmcinfo`	CTWMCMCINFO Estimate information from CTW tree based entropy estimates.
`ctwmcmcsample`	CTWMCMCSAMPLE Perform MCMC sampling of entropy on CTW tree graph(s).
`ctwmcmctree`	CTWMCMCTREE Build full CTW tree graph(s) from data.
`directbin`	DIRECTBIN Bin spike trains for direct method analysis.
`directcat`	DIRECTCAT Direct method analysis to determine category-specific information.
`directcat_jack`	DIRECTCAT_JACK Direct method analysis to determine category-specific information with leave-one-out jackknife.
`directcat_shuf`	DIRECTCAT_SHUF Direct method analysis to determine category-specific information with shuffled inputs.
`directcondcat`	DIRECTCONDCAT Condition data on category.
`directcondformal`	DIRECTCONDFORMAL Condition data on both category and time slice.
`directcondtime`	DIRECTCONDTIME Condition data on time slice.
`directcountclass`	DIRECTCOUNTCLASS Count spike train words in each class.
`directcountcond`	DIRECTCOUNTCOND Count spike train words in each class and disregarding class.
`directcounttotal`	DIRECTCOUNTTOTAL Count spike train words disregarding class.
`directformal`	DIRECTFORMAL Direct method analysis to determine formal information.
`entropy1d`	ENTROPY1D Entropy from a 1-D histogram.
`entropy1dvec`	ENTROPY1DVEC Entropy from a vector of 1-D histograms.
`info2d`	INFO2D Information and entropies from a 2-D histogram.
`infocond`	INFOCOND Information and entropies from conditional and total
`make`	MAKE Compile functions in the Spike Train Analysis Toolkit.
`match_rate`	MATCH_RATE Redraw samples to match spike rate
`matrix2hist2d`	MATRIX2HIST2D Converts a 2-D matrix of counts to a 2-D histogram.
`metric`	METRIC Metric space analysis
`metric_jack`	METRIC_JACK Metric space analysis with leave-one-out jackknife.
`metric_shuf`	METRIC_SHUF Metric space analysis with shuffled inputs.
`metricclust`	METRICCLUST Cluster spike trains based on distance matrix.
`metricdist`	METRICDIST Compute distances between sets of spike train pairs.
`metricopen`	METRICOPEN Prepare input data structure for metric space analysis.
`multisitearray`	MULTISITEARRAY Convert a multi-site input data structure
`multisitesubset`	MULTISITESUBSET Extract a subset of sites from a multi-site
`staplot`	STAPLOT Plot of a continuous signal input data structure.
`staraster`	STARASTER Raster plot of an input data structure.
`staread`	STAREAD Read STAD and STAM files into an input data structure.
`staversion`	STAVERSION Return the version and revision number of the Spike Train Analysis Toolkit.
`stawrite`	STAWRITE Write STAD and STAM files from an input data structure.