The Constrained Disorder Principle (CDP) characterizes systems by their inherent variability, which is regulated within dynamic boundaries to ensure optimal function and adaptability. In biological systems, this variability, or “noise”, is crucial for resilience and flexibility at various scales, ranging from genes and cells to more complex organ systems. Disruption of the boundaries that control this noise—whether through amplification or suppression—can lead to malfunctions and result in pathological conditions. White noise (WN), defined by equal intensity across all audible frequencies, is an exemplary clinical application of the CDP. It has been shown to stabilize disrupted processes and restore functional states by utilizing its stochastic properties within the auditory system. This paper explores WN-based therapies, specifically for the masking, habituation, and alleviation of tinnitus, a subjective perception of sound. It describes the potential to improve WN-based therapies’ effectiveness by applying the CDP and CDP-based second-generation artificial intelligence systems. Understanding the characteristics and limitations of these approaches is essential for their effective implementation across various fields.
Shavit et al. (Fri,) studied this question.