Closed-loop intervention control system
Described is a closed-loop intervention control system for memory consolidation in a subject. During operation, the system simulates memory changes of a first memory in a subject during waking encoding of the memory, and then while the subject is sleeping and coupled to an intervention system. Based on the simulated memory changes, the system predicts behavioral performance for the first memory, the behavioral performance being a probability that the first memory can be recalled on cue. The system can be used to control operation (e.g., turn on or off) of the intervention system with respect to the first memory based on the behavioral performance of the first memory determined by the simulation.
1. A closed-loop intervention control system for memory consolidation in a subject, the system comprising:
one or more processors and a memory, the memory being a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions, the one or more processors perform operations of:
recording biometric data during waking encoding of a first memory, the biometric data simulating a memory change of the first memory and representing at least one of attention, stress, and mental fatigue;
based on the simulated memory change, predicting behavioral performance for the first memory, the predicted behavioral performance being a probability that the first memory can be recalled on cue;
controlling operation of the intervention system with respect to the first memory based on the predicted behavioral performance of the first memory determined by the simulation, such that if the predicted behavioral performance is less than a predetermined level, activating electrodes to apply a target memory cue to a subject during a slow wave sleep state of the subject and ceasing activation of the electrodes when the predicted behavioral performance exceeds the predetermined level; and
correlating the subject's performance of a skill after activation of the electrodes with the biometric data, wherein the correlation between biometric data and the subject's performance of the skill is updated every m trials based on a rolling mean biometric and rolling mean performance metric.
2. The closed-loop intervention control system as set forth in claim 1 , wherein the simulated memory change represents an increased level of skill in the first memory due to training and biometric factors.
3. The closed-loop intervention control system as set forth in claim 2 , wherein simulating the memory change includes encoding and consolidation of a specific memory.
4. The closed-loop intervention control system as set forth in claim 3 , wherein the specific memory is encoded in a short-term memory store and consolidated in a long-term memory store.
5. The closed-loop intervention control system as set forth in claim 4 , wherein consolidating the specific memory in the long-term memory store includes strengthening representations of the specific memory.
6. The closed-loop intervention control system as set forth in claim 5 , further comprising an operation of identifying replays of the specific memory and determining an associated quality, the quality being a likelihood that the specific memory was activated during a certain time period.
7. The closed-loop intervention control system as set forth in claim 6 , wherein the quality is based on recency and frequency of practice of the specific memory.
8. A computer program product for closed-loop intervention for memory consolidation in a subject, the computer program product comprising:
a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions by one or more processors, the one or more processors perform operations of:
recording biometric data during waking encoding of a first memory, the biometric data simulating a memory change of the first memory and representing at least one of attention, stress, and mental fatigue;
based on the simulated memory change, predicting behavioral performance for the first memory, the predicted behavioral performance being a probability that the first memory can be recalled on cue;
controlling operation of the intervention system with respect to the first memory based on the predicted behavioral performance of the first memory determined by the simulation, such that if the predicted behavioral performance is less than a predetermined level, activating electrodes to apply a target memory cue to a subject during a slow wave sleep state of the subject and ceasing activation of the electrodes when the predicted behavioral performance exceeds the predetermined level; and
correlating the subject's performance of a skill after activation of the electrodes with the biometric data, wherein the correlation between biometric data and the subject's performance of the skill is updated every m trials based on a rolling mean biometric and rolling mean performance metric.
9. The computer program product as set forth in claim 8 , wherein the simulated memory change represents an increased level of skill in the first memory due to training and biometric factors.
10. The computer program product as set forth in claim 9 , wherein simulating the memory change includes encoding and consolidation of a specific memory.
11. The computer program product as set forth in claim 10 , wherein the specific memory is encoded in a short-term memory store and consolidated in a long-term memory store.
12. The computer program product as set forth in claim 11 , wherein consolidating the specific memory in the long-term memory store includes strengthening representations of the specific memory.
13. The computer program product as set forth in claim 12 , further comprising an operation of identifying replays of the specific memory and determining an associated quality, the quality being a likelihood that the specific memory was activated during a certain time period.
14. The computer program product as set forth in claim 13 , wherein the quality is based on recency and frequency of practice of the specific memory.
15. A computer implemented method for a closed-loop intervention for memory consolidation in a subject, the method comprising an act of:
causing one or more processors to execute instructions encoded on a non-transitory computer-readable medium, such that upon execution, the one or more processors perform operations of:
recording biometric data during waking encoding of a first memory, the biometric data simulating a memory change of the first memory and representing at least one of attention, stress, and mental fatigue;
based on the simulated memory change, predicting behavioral performance for the first memory, the predicted behavioral performance being a probability that the first memory can be recalled on cue;
controlling operation of the intervention system with respect to the first memory based on the predicted behavioral performance of the first memory determined by the simulation, such that if the predicted behavioral performance is less than a predetermined level, activating electrodes to apply a target memory cue to a subject during a slow wave sleep state of the subject and ceasing activation of the electrodes when the predicted behavioral performance exceeds the predetermined level; and
correlating the subject's performance of a skill after activation of the electrodes with the biometric data, wherein the correlation between biometric data and the subject's performance of the skill is updated every m trials based on a rolling mean biometric and rolling mean performance metric.
16. The computer implemented method as set forth in claim 15 , wherein the simulated memory change represents an increased level of skill in the first memory due to training and biometric factors.
17. The computer implemented method as set forth in claim 16 , wherein simulating the memory change includes encoding and consolidation of a specific memory.
18. The computer implemented method as set forth in claim 17 , wherein the specific memory is encoded in a short-term memory store and consolidated in a long-term memory store.
19. The computer implemented method as set forth in claim 18 , wherein consolidating the specific memory in the long-term memory store includes strengthening representations of the specific memory.
20. The computer implemented method as set forth in claim 19 , further comprising an operation of identifying replays of the specific memory and determining an associated quality, the quality being a likelihood that the specific memory was activated during a certain time period.
21. The computer implemented method as set forth in claim 20 , wherein the quality is based on recency and frequency of practice of the specific memory.