1. A method of neural learning in a neural network, comprising: determining a synaptic weight for a synaptic connection between a pre-synaptic neuron and a post-synaptic neuron; determining one or more failures of the synaptic connection based on a set of characteristics of the synaptic connection; and omitting the one or more failures from computation of a neuronal behavior of the post-synaptic neuron.