Figure 1.
Architecture of the representational model. Black layers comprise visible units that receive inputs and/or targets from the environment. Gray layers represent hidden units. Solid arrows indicate full, trainable connectivity between layers. The dashed arrow represents a copy function whereby, following processing of a stimulus, the activation pattern over the hub layer is replicated on the context layer where it remains to act as the context for the next stimulus.