Homeostatic systems, biocybernetics, and autonomic neuroscience

• Published in: Autonomic neuroscience Vol. 208; pp. 15 - 28
• Main Authors: Goldstein, David S., Kopin, Irwin J.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.12.2017
• Subjects: Allostasis; Animals; Autonomic; Autonomic Nervous System - physiology; Biocybernetics; Cybernetics; Homeostasis; Homeostasis - physiology; Humans; Stress; Homeostasis; Biocybernetics; Stress; Allostasis; Autonomic
• ISSN: 1566-0702; 1872-7484
• DOI: 10.1016/j.autneu.2017.09.001

In this review we describe a series of major concepts introduced during the past 150years that have contributed to our current understanding about how physiological processes required for well-being and survival are regulated. One can theorize that hierarchical networks involving input-output relationships continuously orchestrate and learn adaptive patterns of observable behaviors, cognition, memory, mood, and autonomic systems. Taken together, these networks function as “good regulators” determining levels of internal variables and act as if there were homeostatic comparators (“homeostats”). The consequences of models with vs. without homeostats remain the same in terms of allostatic load and the eventual switch from stabilizing negative feedback loops to destabilizing, pathogenic positive feedback loops. Understanding this switch seems important for comprehending senescence-related, neurodegenerative disorders that involve the autonomic nervous system. Our general proposal is that disintegration of homeostatic systems causes disorders of regulation in degenerative diseases and that medical cybernetics can inspire and rationalize new approaches to treatment and prevention.