Toward a Unified State-Dependent Framework for Behavioral Interpretation: An Interdisciplinary Conceptual Analysis

Human behavior has been interpreted through environmental, cognitive, developmental, and diagnostic frameworks. However, multiple scientific disciplines’ converging evidence suggests that physiological state dynamically influences behavioral accessibility and expression. Research in stress physiology, autonomic regulation, interoception, neuroendocrinology, trauma science, embodied cognition, dynamic systems theory, and state-dependent learning describes how physiological organization influences cognition, communication, emotional regulation, learning, behavioral flexibility, adaptation, and human performance across contexts. Despite growing convergence, findings often remain conceptually fragmented within disciplines, limiting development of a unified behavioral interpretation framework. This paper argues the need for and proposes an interdisciplinary, state-dependent framework for integrating these observations into a coherent interpretive architecture. The Non-Linear Physiology–Behavior Equation (Gomez Uncu, 2026) is introduced as a conceptual model in which antecedents, physiological state, and consequences interact dynamically, while behavior emerges as the downstream expression of physiological organization present at a given moment. In this framework, physiological state is not a secondary behavior modifier but a central organizing variable influencing accessibility to cognitive, emotional, communicative, adaptive, and behavioral processes across varying environmental and temporal conditions. The paper does not propose replacing environmental, cognitive, developmental, or behavioral models. Rather, it argues that these models’ explanatory precision may become increasingly limited under conditions of physiological dysregulation, overload, chronic stress, or altered regulatory organization. This conceptual analysis synthesizes multiple scientific domains’ evidence, explores a unified state-dependent framework’s potential to advance behavioral interpretation, clinical reasoning, educational approaches, trauma-informed practice, and future interdisciplinary research. Implications for conceptual operationalization, measurement, and empirical validation are also discussed.