Dimensions of RLSOM

At the Cognitive Robotics Research Centre at the University of Wales, Newport, we have been working on a reinforcement learning self-organizing map (RLSOM).
Without going into the details of the RLSOM algorithm, I'd liek to list some potential extensions:

• From fixed length memory to primitives
• STM Length and Learning Frequency
• Representing space using decaying activation
• Sparse representation of connections
• One-shot and incremental learning
• Pre-structuring hierarchies
• Random connections across hierarchical levels