The Random_Order update function selects a neuron and calculates its activation and output value. The selection process is absolutely random and will be repeated n times. The parameter n is the number of existing neurons. One specific neuron can be selected more than one time while other neurons may be left out. This kind of update function is rarely used and is just a theoretical base to prove the stability of Hopfield nets.