1. A method, comprising: identifying a first network comprising one or more indexed classes of artificial neurons; and determining one or more tags for the one or more indexed classes of artificial neurons regardless of their indexing, wherein determining the one or more tags for the one or more indexed classes of artificial neurons comprises: augmenting the first network with a second network comprising one or more artificial neurons, wherein each neuron in the second network corresponds to a tag; connecting each of the one or more indexed classes of artificial neurons to all the neurons in the second network with one or more plastic connections; and providing supervisory bias signals to the one or more indexed classes of artificial neurons via the plastic connections, such that the supervisory signal imposes a desired mapping between classes and output layer neurons.