Regulated Activation Networks

Regulated Activation Networks(RANs), is a computational cognitive model. This modelling approach is based upon the Principles of Regulated Activation Networks(PRANs), which are summarized as:
 * The model must have a dynamic topology.
 * The model must be capable creating abstract concepts.
 * The model must be able to learn association among the concepts.
 * The model must exhibit time-variant activation states.