Circuits composed of threshold gates (McCulloch-Pitts neurons, or
perceptrons) are simplified models of neural circuits with the
advantage that they are theoretically more tractable than their
biological counterparts. However, when such threshold circuits are
designed to perform a specific computational task they usually
differ ...
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For a Boolean function $f:\{0,1\}^n \to \{0,1\}$ computed by a circuit $C$ over a finite basis $\cal{B}$, the energy complexity of $C$ (denoted by $\mathbf{EC}_{{\cal B}}(C)$) is the maximum over all inputs $\{0,1\}^n$ the numbers of gates of the circuit $C$ (excluding the inputs) that output a one. Energy Complexity ... more >>>