1. Apparatus for a neuromorphic network comprising an artificial neural network for implementing a solution to one of a control, detection or classification application, the neuromorphic artificial neural network comprising a multi-dimensional array of addressable circuit elements configured as one of a neuron and a synapse, the neuromorphic artificial neural network comprising: an artificial neural network configuration structure for configuring the multi-dimensional array of addressable circuit elements and an interface and control structure for connecting the two-dimensional array to an external process; a multi-dimensional array of interconnected circuit elements, each circuit element having the same components including a long-term depression/long-term potentiation machine, an accumulator, a synapse distance/delay register and first and second neuron/synapse select leads, each circuit element addressably configured, under special purpose program control of the interface and control structure and the configuration structure, as one of a neuron and a synapse via the first neuron/synapse configuration lead to an accumulator of each circuit element of the array and a second neuron/synapse configuration lead to a synapse distance/delay register of each circuit element of the array, at least one circuit element of the multi-dimensional array addressably representing an input neuron having a threshold, at least one circuit element of the multi-dimensional array addressably representing an output neuron also having a threshold; the input and output neurons being connectable to an external process via the interface and control structure; and under the special purpose program control, one to multiple circuit elements of the multi-dimensional array addressably configured as a neuron or as a synapse to addressably configure and addressably reconfigure the multi-dimensional array to solve one of the control, detection and classification applications under control of a control and optimizing device connected to the interface and control structure and the configuration structure, the addressably configured neuron or synapse connected between the input neuron and the output neuron, the apparatus further including the long-term depression/long-term potentiation state machine of the addressably configured synapse for one of incrementing and decrementing a synaptic weight of the addressably configured synapse according to the firing of an addressably configured neuron connected to the addressably configured synapse, the addressably configured neuron being connected to at least a selected one of a plurality of circuit elements addressably configured as a synapse to form the multi-dimensional array of circuit elements.