Equilibrium-Based Bipolar Neurological Modeling

Wen-Ran Zhang, Georgia Southern University
Anand K. Pandurangi, Virginia Commonwealth University
Karl E. Peace, Georgia Southern University


This work introduces an equilibrium-based dynamic model for the characterization, classification, and diagnostic analysis of bipolar disorder, a psychiatric syndrome with manic and depressive phases. The new model extends the traditional spectrum model of mood states from a static and closed world to a dynamic open-world of equilibria with a bipolar universal modus ponens (BUMP). The utility of the new model is illustrated in diagnostic analysis of depression and clinical psychopharmacology of different phases of this disorder.