code: def _initPermConnected(self):
      
      p = self._synPermConnected + (
          self._synPermMax - self._synPermConnected)*self._random.getReal64()
  
      # Ensure we don't have too much unnecessary precision. A full 64 bits of
      # precision causes numerical stability issues across platforms and across
      # implementations
      p = int(p*100000) / 100000.0
      return p
docs: Returns a randomly generated permanence value for a synapses that is
      initialized in a connected state. The basic idea here is to initialize
      permanence values very close to synPermConnected so that a small number of
      learning steps could make it disconnected or connected.
  
      Note: experimentation was done a long time ago on the best way to initialize
      permanence values, but the history for this particular scheme has been lost.