code: def _getBestMatchingCell(self, c, activeState, minThreshold):
      
      # Collect all cells in column c that have at least minThreshold in the most
      # activated segment
      bestActivityInCol = minThreshold
      bestSegIdxInCol = -1
      bestCellInCol = -1
  
      for i in xrange(self.cellsPerColumn):
  
        maxSegActivity = 0
        maxSegIdx = 0
  
        for j, s in enumerate(self.cells[c][i]):
  
          activity = self._getSegmentActivityLevel(s, activeState)
  
          if activity > maxSegActivity:
            maxSegActivity = activity
            maxSegIdx = j
  
        if maxSegActivity >= bestActivityInCol:
          bestActivityInCol = maxSegActivity
          bestSegIdxInCol = maxSegIdx
          bestCellInCol = i
  
      if bestCellInCol == -1:
        return (None, None, None)
      else:
        return (bestCellInCol, self.cells[c][bestCellInCol][bestSegIdxInCol],
                  bestActivityInCol)
docs: Find weakly activated cell in column with at least minThreshold active
      synapses.
  
      :param c            which column to look at
      :param activeState  the active cells
      :param minThreshold minimum number of synapses required
  
      :returns: tuple (cellIdx, segment, numActiveSynapses)