Performance analysis of a four-neuron SET-WTA neural network with lateral inhibition and realistic interconnections

The development of processing in nanoscale chips is being threatened by the necessary miniaturization of interconnections. In this work, a RC interconnection model is implemented in order to study the electrical performance of a four-neuron SET-WTA neural network. The interconnection´s influence upon the circuit behavior is analyzed, through simulations with SIMON, and interconnection-related limits for the operational frequency are established.