A method of selecting a target from among multiple targets includes setting an imbalance for connections in a neural network based on a selection function. The method also includes modifying a relative activation between multiple targets based on the imbalance. The relative activation corresponds to one of the targets.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of selecting a target from a plurality of targets, comprising: setting an imbalance for connections in a neural network based at least in part on a selection function; and modifying a relative activation between the plurality of targets based at least in part on the imbalance, the relative activation corresponding to at least one target. 2. The method of claim 1, in which each target is a spatial target. 3. The method of claim 1, in which each target comprises at least one active neuron. 4. The method of claim 1, further comprising selecting the at least one target based at least in part on the imbalance. 5. The method of claim 4, further comprising selecting two or more targets of the plurality of targets based at least in part on probabilities of each target. 6. The method of claim 1, in which the selection function is based at least in part on a distance between the each target and an object. 7. The method of claim 1, in which the imbalance comprises at least inhibitory weights, excitatory weights, or a combination thereof. 8. The method of claim 1, in which the at least one target has a greater amount of activity in comparison to other targets based at least in part on the relative activation. 9. The method of claim 1, in which the connections comprise at least feed forward logical inhibitory connections, feed forward logical excitation connections, feedback logical inhibitory connections, feedback logical excitation connections, or a combination thereof. 10. The method of claim 1, in which the connections are at least first input layer connections, neuron inputs, lateral connections, or a combination thereof. 11. An apparatus for selecting a target from a plurality of targets, comprising: means for setting an imbalance for connections in a neural network based at least in part on a selection function; and means for modifying a relative activation between the plurality of targets based at least in part on the imbalance, the relative activation corresponding to at least one target. 12. The apparatus of claim 11, in which each target is a spatial target. 13. The apparatus of claim 11, in which each target comprises at least one active neuron. 14. The apparatus of claim 11, further comprising means for selecting the at least one target based at least in part on the imbalance. 15. The apparatus of claim 14, further comprising means for selecting two or more targets of the plurality of targets based at least in part on probabilities of each target. 16. The apparatus of claim 11, in which the selection function is based at least in part on a distance between the each target and an object. 17. An apparatus for selecting a target from a plurality of targets, comprising: a memory unit; and at least one processor coupled to the memory unit, the at least one processor being configured: to set an imbalance for connections in a neural network based at least in part on a selection function; and to modify a relative activation between the plurality of targets based at least in part on the imbalance, the relative activation corresponding to at least one target. 18. The apparatus of claim 17, in which each target is a spatial target. 19. The apparatus of claim 17, in which each target comprises at least one active neuron. 20. The apparatus of claim 17, in which the at least one processor is further configured to select the at least one target based at least in part on the imbalance. 21. The apparatus of claim 20, in which the at least one processor is further configured to select two or more targets of the plurality of targets based at least in part on probabilities of each target. 22. The apparatus of claim 17, in which the selection function is based at least in part on a distance between the each target and an object. 23. The apparatus of claim 17, in which the imbalance comprises at least inhibitory weights, excitatory weights, or a combination thereof. 24. The apparatus of claim 17, in which the at least one target has a greater amount of activity in comparison to other targets based at least in part on the relative activation. 25. The apparatus of claim 17, in which the connections comprise at least feed forward logical inhibitory connections, feed forward logical excitation connections, feedback logical inhibitory connections, feedback logical excitation connections, or a combination thereof. 26. The apparatus of claim 17, in which the connections are at least first input layer connections, neuron inputs, lateral connections, or a combination thereof. 27. A computer program product for selecting a target from a plurality of targets, comprising: a non-transitory computer-readable medium having non-transitory program code recorded thereon, the program code comprising: program code to set an imbalance for connections in a neural network based at least in part on a selection function; and program code to modify a relative activation between the plurality of targets based at least in part on the imbalance, the relative activation corresponding to at least one target.