CLOSED-LOOP MODEL-BASED CONTROLLER FOR ACCELERATING MEMORY AND SKILL ACQUISITION

Described is a closed-loop control system for memory consolidation in a subject. During operation, the system encodes information regarding environmental items as memories in both a long-term memory store and a short-term memory store. The system generates an activation level representation of a memory of interest related to at least one of the environmental items. An association strength representation for the memories is also generated. Memory consolidation is simulated when the subject is in NREM sleep or quiet waking by strengthening the association strength representation related to the memory of interest. The system predicts behavioral performance for the memory of interest as a probability that the memory of interest can be recalled on cue. When the behavioral performance is below a threshold, an intervention system can be activated.