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.

See also

• Connectionist models.
• Cognitive models.
• Computational Psychology.
• Neural Networks.
• Machine Learning.
• Deep Representations.
• Conceptual Spaces.
• Conceptual Representations.