12. An apparatus, comprising: at least one processor configured to identify a first network comprising one or more indexed classes of artificial neurons and determine one or more tags for the one or more indexed classes of artificial neurons regardless of their indexing, wherein the at least one processor is configured to determine the one or more tags for the one or more indexed classes of artificial neurons by: 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; and a memory coupled with the at least one processor.
17. The method of claim 12 , wherein the at least one processor is configured to use the one or more tags to connect the first network to an apparatus.