Fig 7. The vRD as a function of the learning rate η for each learning rule.

The E-learning CHRON rule of [11] is included as a benchmark for the INST and FILT rules. In every instance, a network containing 200 presynaptic neurons and a single postsynaptic neuron was tasked with mapping 10 arbitrary input patterns to the same target output spike with a timing of 100ms. Learning took place over 500 epochs, and results were averaged over 40 independent runs. In this case, error bars show the standard error of the mean rather than the standard deviation: the vRD was subject to very high variance for large η values, therefore we considered just its average value and not its distribution.