As the sequence of input is always constant a word presented in a novel position will be bound according to the expected role in the sequence. One final point to be made, regarding memory for concepts. Each concept must explicitly be associated with a concept node. Thus, as the number of concepts grows, more concept nodes must be added to the system. Time Time is used in Hadley's model as a sequencing agent only.
Input is presented, in the form of a sequence of words.
From the sequence of input words, the model must deduce the end of sentences - there are no explicit sentence delimiters in the input. However, on recognition of the end of a sentence, the network activations are externally reset to zero. Processing is performed in a distinct sequence. Initially, the activations of all nodes are set to zero. The master p-node core is externally activated causing it to fire, spreading activation to its thematic site nodes.