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. The function has no return value, but instead writes a series of .csv files. Each row in the .csv file represents an event from the time series. The input patterns are the median values from each column of the time series within a 5-second window following the event onset.

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