Neuromodulation using stochastically-modulated stimulation parameters

1. A system for use with an electrode arrangement, comprising:

a neuromodulation device configured to use electrodes in the electrode arrangement to generate a neuromodulation field, the neuromodulation device including a neuromodulation generator, a neuromodulation control circuit and a storage, the storage including a stochastically-modulated neuromodulation parameter set, the stochastically-modulated neuromodulation parameter set including at least one stochastically-modulated parameter, wherein the controller configured to control the neuromodulation generator using the stochastically-modulation parameter set to generate the neuromodulation field; and

a stochastic modulator programmed with at least one modulation model for use to stochastically modulate at least one parameter to provide the at least one stochastically-modulated parameter, wherein the stochastic modulator is configured to:

implement stochastic process rules to determine permissible subsequent samples in a sequence of random or pseudo-random samples from the at least one modulation model; and

use the sequence of random or pseudo-random samples with the permissible subsequent samples to stochastically modulate the at least one parameter.

2. The system of claim 1 , wherein the neuromodulation device includes the stochastic modulator.

3. The system of claim 1 , wherein the system includes a programming device, wherein the programming device includes the stochastic modulator and is configured to program the stochastically-modulated neuromodulation parameter set into the neuromodulation device.

4. The system of claim 1 , wherein the stochastic modulator is programmed with at least one of a probabilistic distribution model, or a stochastic process model, or a real-time/semi-real-time computational model.

5. The system of claim 4 , wherein the stochastic modulator is programmed with another modulation model, and is configured to use the other modulation model to stochastically modulate another parameter.

6. The system of claim 1 , wherein the stochastic modulator includes a timer or counter configured to control when the stochastic modulator advances from one sample to another sample.

7. The system of claim 1 , further including a user interface configured for use to program the stochastic modulator.

8. The system of claim 7 , wherein the user interface is configured to allow a user to select a modulation model to be used by the stochastic modulator.

9. The system of claim 7 , wherein the user interface is configured to allow a user to select a parameter to be stochastically-modulated using the stochastic modulator.

10. The system of claim 7 , wherein the user interface is configured to allow a user to select at least one model parameter for a stochastic modulation model, the at least one model parameter to at least partially define or constrain the stochastic modulation model.

11. The system of claim 1 , wherein the at least one stochastically-modulated parameter includes a temporal modulation parameter.

12. The system of claim 1 , wherein the at least one stochastically-modulated parameter includes a spatial parameter.

13. A method for delivering neuromodulation, comprising:

stochastically modulating at least one neuromodulation parameter using at least one modulation model to provide a stochastically-modulated neuromodulation parameter set, wherein the stochastically modulating includes:

implementing stochastic process rules to determine permissible subsequent samples in a sequence of random or pseudo-random samples from the at least one modulation model; and

using the sequence of random or pseudo-random samples with the permissible subsequent samples to stochastically modulate the at least one neuromodulation parameter; and

generating a neuromodulation field using the stochastically-modulated neuromodulation parameter set.

14. The method of claim 13 , wherein the modulation model includes a probabilistic distribution model, or a stochastic process model, or a real-time/semi-real-time computational model.

15. The method of claim 13 , further comprising using another modulation model to stochastically-modulate at least one other parameter.

16. The method of claim 13 , wherein stochastically modulating at least one neuromodulation parameter includes stochastically modulating at least one temporal parameter or stochastically modulating at least one spatial parameter.

17. The system of claim 7 , wherein the user interface is configured to allow a user to select sampling rules to create the random or pseudo-random samples of the stochastic modulation model.

18. The system of claim 7 , wherein the user interface is configured to allow a user to select rules to control when the stochastic modulator advances from one sample to another sample.

19. The system of claim 7 , wherein the user interface is configured to allow a user to select the stochastic process rules.

20. A non-transitory machine-readable medium including instructions, which when executed by a machine, cause the machine to:

stochastically modulate at least one neuromodulation parameter using at least one modulation model to provide a stochastically-modulated neuromodulation parameter set, including:

implement stochastic process rules to determine permissible subsequent samples in a sequence of random or pseudo-random samples from the at least one modulation model; and

use the sequence of random or pseudo-random samples with the permissible subsequent samples to stochastically modulate the at least one neuromodulation parameter; and

generate a neuromodulation field using the stochastically-modulated neuromodulation parameter set.