Fuzzy Logic Controller Applied to Brain Emotional Learning Based Model of Bipolar Disorder II

In this paper, a new model of bipolar mood disorder as well as a way to treat this disorder using Fuzzy Logic Controller (FLC) is introduced. For the first time, we have modeled bipolar mood disorder by a brain emotional learning machine which is more realistic rather than the mathematical ones. The proposed model depicts how the brain acts in untreated patients suffering from bipolar disorder. Also we've attempted to regulate the abnormal amygdala operation-which is one of the major causes of this type of disorder-and suggest a treatment by applying a FLC to the proposed model. We illustrate the efficiency of our model in comparison with the previous mathematical works which have been done in this area.