14. The apparatus of claim 9 , wherein the target time difference is a setpoint for a homeostatic process involving the artificial neuron.
9. An apparatus for learning using a spiking neural network, comprising: a processing unit configured to: (a) delay an input spike in an artificial neuron according to a current delay associated with an input to the artificial neuron, wherein the input spike occurs at an input spike time relative to a reference time for the artificial neuron; (b) emit an output spike from the artificial neuron based, at least in part, on the delayed input spike; (c) determine an actual time difference between the emission of the output spike from the artificial neuron and the reference time for the artificial neuron; and (d) adjust the current delay associated with the input based on a difference between a target time difference and the actual time difference, the current delay, and an input spike time for the input spike.