Abstract
A threshold circuit is a combinatorial circuit consisting of logic gates computing linear threshold functions. A threshold circuit is one of the most well-studied computational models in circuit complexity theory, and is commonly viewed as an abstract model of a neural network in the brain. In this paper, we investigate threshold circuits from the viewpoint of a biologically-inspired complexity measure, called energy complexity. Following basic definitions and examples of threshold circuits, we observe three lower bound results for threshold circuits of bounded energy.
