Neuronal activity modulation of artificial neural networks

Abstract

Systems and techniques that facilitate neuronal activity modulation of artificial neural networks are provided. In various embodiments, an artificial neural network can comprise a set of base neuron populations that collectively generate, during an inferencing phase or a training phase of the artificial neural network, an inferencing task result based on a data candidate. In various aspects, the artificial neural network can comprise a control neuron population that is independent of the set of base neuron populations. In various instances, the control neuron population can modulate, during the inferencing phase or the training phase, neuronal activity of at least one base neuron population of the set of base neuron populations. In various cases, the control neuron population can modulate the neuronal activity of the at least one base neuron population by scaling one or more operands internally produced by the at least one base neuron population.