Original title: Non-deterministic linear thresholding systems reveal their deterministic origins
Authors: Anna Laddach, Michael Shapiro
Imagine unraveling the mystery behind linear thresholding systems. Originally designed to simulate neural and gene activation, these systems take an intriguing turn when noise enters the scene. By adding noise, deterministic systems morph into non-deterministic ones. Surprisingly, under specific noise conditions, researchers uncovered a fascinating link: the deterministic model emerges from the probabilities of the non-deterministic setup. This revelation hints at a remarkable connection between these seemingly different systems, shedding light on how noise can transform predictability into probability.
Original article: https://arxiv.org/abs/2311.13339