Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions

In this paper a computational analysis is presented of differences between men and women in coping with extreme emotions. This analysis is based on an adap-tive temporal-causal network model. It takes into account the suppression of con-nections between preparation states and sensory representations of action effects due to an extreme stressful emotion. It is shown how this model can be used to represent the difference between males and females facing an extreme emotion, thereby performing their own methods in coping with the extreme emotion, for males fight or flight and for females tend-and-befriend

An adaptive cognitive temporal-causal network model of a mindfulness therapy based on music

In this paper the effect of a music therapy is modeled based on a Network-Oriented Modeling approach. Music therapy is a mindfulness therapy used since many years ago. The presented adaptive temporal-causal network model addresses music therapy for a person who in a first phase develops an extreme stressful emotion due to an ongoing stressful event. In a second phase, music therapy is considered to reduce the stress. This happens by playing memorable music first and then singing on that music. The music and the singing have a direct relaxing effect on the body. Hebbian learning is incorporated to increase the effect of the therapy