Single-electron circuit for inhibitory spiking neural network with fault-tolerant architecture

An inhibitory spiking neural network that uses single-electron circuit devices is described. The network consists of a number of identical neuron circuits constructed from single-electron oscillators with coupling capacitors. The neurons are cross-connected in a competing fault-tolerant architecture. Computer simulations show that the proposed circuit is capable of overcoming a high rate of random device failure.