1. A method of operating computerized spiking neuron operable in accordance with a process characterized by a learning parameter, said method comprising: modifying said learning parameter based at least in part on a reinforcement signal and a quantity relating to a first adjustment and second adjustment; wherein: said reinforcement signal is configured based at least in part on a performance measure determined based at least in part on a present performance and a target performance associated with said process.