This invention relates to an apparatus, system, and method for computing with neuromorphic circuit architectures that have neurons with interconnected internal state information. The interconnected internal state information allows the neurons to enable or strengthen the input to other neurons. Furthermore, neuron internal state information provides insights on the characteristics of the input data that can be used to enhance the performance of the neuromorphic system. The neuromorphic system can be implemented with an artificial phase-change-based neurons.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An apparatus for computation, comprising: a. a first electronic neuron comprising a first internal state; and b. a second electronic neuron, wherein the first internal state is connected to an internal state input of the second electronic neuron, thereby modifying the operation of the second electronic neuron. 2. The apparatus of claim 1, wherein the first internal state comprises a signal selected from the group consisting of a cumulative postsynaptic potential, a cumulative postsynaptic potential computed from fraction of inputs, spike timing information, and neuronal membrane. 3. The apparatus of claim 1, wherein the first neuron comprises an artificial phase-change-based neuron. 4. The apparatus of claim 1, wherein modifying the operation of the second electronic comprises disabling the integration of the second electronic neuron. 5. The apparatus of claim 1, wherein the internal state input of the second electronic neuron comprises a threshold enable that disables the second electronic neuron when the first internal state is below a threshold value. 6. The apparatus of claim 1, wherein the internal state input of the second electronic neuron comprises a threshold enable that disables the second electronic neuron when the internal state input is outside a threshold range. 7. The apparatus of claim 1, wherein the first electronic neuron further comprises a first set of spike-timing dependent plasticity synapses and an integrate and fire element, and wherein a cumulative postsynaptic potential is input into an integrate and fire element and the output of the integrate and fire element is input to the first set of spike-timing dependent plasticity synapses. 8. An apparatus for computation, comprising: a. a first electronic neuron comprising a first internal state; b. a second electronic neuron, wherein the first internal state is connected to an internal state input of the second electronic neuron, thereby modifying the operation of the second electronic neuron; and c. a third electronic neuron, wherein the first internal state is connected to an internal state input of the third electronic neuron, thereby modifying the operation of the third electronic neuron. 9. The apparatus of claim 8, wherein: a. the internal state input of the second electronic neuron comprises a first threshold enable that disables the second electronic neuron when the internal state input is below a first threshold value; and b. the internal state input of the third electronic neuron comprises a second threshold enable that disables the third electronic neuron when the internal state input is below a second threshold value. 10. The apparatus of claim 9, wherein the first threshold value is less than the second threshold value. 11. The apparatus of claim 8, wherein modifying the operation of the second electronic comprises disabling the integration of the second electronic neuron, and wherein modifying the operation of the third electronic comprises disabling the integration of the third electronic neuron. 12. The apparatus of claim 8, wherein: a. the internal state input of the second electronic neuron comprises a threshold enable that disables the second electronic neuron when the internal state input is outside a first threshold range; and b. the internal state input of the third electronic neuron comprises a threshold enable that disables the second electronic neuron when the internal state input is outside a second threshold range. 13. The apparatus of claim 12, wherein the upper bound of the first threshold range is less than the lower bound of the second threshold range. 14. The apparatus of claim 8, wherein the first internal state comprises a signal selected from the group consisting of a cumulative postsynaptic potential, a cumulative postsynaptic potential computed from fraction of inputs, spike timing information, and neuronal membrane. 15. The apparatus of claim 8, wherein the first electronic neuron further comprises a first set of spike-timing dependent plasticity synapses and an integrate and fire element, wherein the cumulative postsynaptic potential is input into the integrate and fire element and the output of the integrate and fire element is input to the first set of spike-timing dependent plasticity synapses. 16. The apparatus of claim 8, wherein the first neuron comprises an artificial phase-change-based neuron. 17. A method for computation, the method comprising: a. receiving a first set of inputs at a first spike-timing dependent plasticity synapse; b. receiving a second set of inputs at a second spike-timing dependent plasticity synapse; c. combining the output of the first spike-timing dependent plasticity synapse and the second spike-timing dependent plasticity synapse in a first neuron to generate a cumulative postsynaptic potential signal; and d. receiving the cumulative postsynaptic potential signal at an input of a second neuron and modifying the operation of the second neuron based on the cumulative postsynaptic potential signal. 18. The method of claim 17, wherein modifying the operation of the second neuron based on the cumulative postsynaptic potential signal comprises modifying the operation of the second neuron when the cumulative postsynaptic potential signal is below a threshold. 19. The method of claim 17, wherein modifying the operation of the second electronic comprises disabling the integration of the second electronic neuron. 20. The method of claim 17, wherein modifying the operation of the second neuron based on the cumulative postsynaptic potential signal comprises disabling the operation of the second neuron when the cumulative postsynaptic potential signal is outside a threshold range.