Spike Train Analysis Toolkit Documentation  Spike Train Analysis Toolkit Function Reference  binlessopen

Spike Train Analysis Toolkit

binlessopen

BINLESSOPEN Extract useful information for binless method.
   [DATA,COUNTS,CATEGORIES] = BINLESSOPEN(X,OPTS) opens the input
   data structure X and extracts information required for analysis
   with the binless method. DATA is a cell array of spike trains
   (episodic) or samples (continuous). COUNTS is a vector of the
   number of spikes or samples in each element of DATA. CATEGORIES is
   a vector of the categories of the items in DATA.

   The options and parameters for this function are:
      OPTS.start_time: The start time of the analysis window. The
         default is the maximum of all of the start times in X. 
      OPTS.end_time: The end time of the analysis window. The
         default is the minimum of all of the end times in X.

   [DATA,COUNTS,CATEGORIES] = BINLESSOPEN(X) uses the default options
   and parameters.

   [DATA,COUNTS,OPTS_USED] = BINLESSOPEN(X) or
   [DATA,COUNTS,CATEGORIES,OPTS_USED] = BINLESSOPEN(X,OPTS)
   additionally returns the options used.
 
   Note that the option OPTS.recording_tag, which is used by
   BINLESSEMBED, is explicitly set by this function according to the
   recording_tag of the input data ('episodic' or 'continuous').
   Likewise, when X contains continuous data, OPTS.warping_strategy,
   which is used by BINLESSWARP, is explicitly set to 0 (linear
   scaling), as no other choice currently makes sense. Therefore, it
   is recommended that the output options OPTS_USED be passed
   serially from BINLESSOPEN to subsequent binless method functions,
   as is done in BINLESS.

   See also BINLESS, BINLESSWARP, BINLESSEMBED, BINLESSINFO.

Cross-reference information

This function calls:

This function is called by:


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