This paper introduces an optical spiking neural network that utilizes optical rogue-wave statistics as a programmable firing mechanism. It demonstrates how phase-engineered caustics enable robust, passive thresholding, thereby harnessing extreme-wave phenomena for scalable and energy-efficient neuromorphic photonic inference.