Playpen learns rules.

• Layer of Word units (MOUs). Hard-wired connections implement similarity relations necessary for similarity-based segmentation. When a sequence of words is presented, the units take on phase angles representing the sameness or differences among the words in the sentence.

• Layer of Sequence units (MOUs). In the full model (not yet implemented), Sequence units associated with specific Words and with clusters of Words. In the simplified model, a single Sequence unit for each delay associated with all Words.

• Layer of Grammar units (MRUs), one for each pair of Sequence units.

  

• Network trained on 4 different instances of a "rule" (AAB, ABB, or ABA).

• Following training, the Grammar layer is more highly activated following a pattern that obeys the rule than one which does not.