TSTagger

A MATLAB function named TSTagger has been written to facilitate assigning volumes from a time series to a particular condition for supervised learning in a neural network.

function TSTagger(varargin)
 Isolate TimeSeries data associated with each condition in a .mat runtime
 file
 
 Mandatory arguments:
   condition: a cell array of condition codes matching values in the
       condition column

   tr: scan interval (E.g. 2.047)
   mat: a cell array of time series matrices
   expinfo: a cell array of the runtime expinfo structures corresponding
       to the timeseries matrices
   
 Optional arguments:
   duration: a scalar indicating the number of volumes for each event
   (default: 1)

   volumes_dropped: number of INITIAL volumes dropped (i.e., volumes from 
       the start of the run), either as a single value or else as a vector
       of numbers. If a single value is provided, it will be applied to
       all paired data files, otherwise the values will be applied to the
       corresponding dat argument cell