code: def getBurstingColumnsStats(self):
      
      traceData = self.tm.mmGetTraceUnpredictedActiveColumns().data
      resetData = self.tm.mmGetTraceResets().data
      countTrace = []
      for x in xrange(len(traceData)):
        if not resetData[x]:
          countTrace.append(len(traceData[x]))
  
      mean = numpy.mean(countTrace)
      stdDev = numpy.std(countTrace)
      maximum = max(countTrace)
      return mean, stdDev, maximum
docs: Gets statistics on the Temporal Memory's bursting columns. Used as a metric
      of Temporal Memory's learning performance.
      :return: mean, standard deviation, and max of Temporal Memory's bursting
      columns over time