Holistic mind activity analytical models with systems and control theory

Among the rich brain mind activities, two distinct modes have been identified: the driven doing mode often linked to mental health problem generation and the being mode known for its healing qualities. However, fully understanding these modes is challenging because measuring brain-mind performance is not straightforward and often indirect. In this paper, we propose a holistic approach, employing systems and control theory, to gain insights into these brain-mindful modes. In a typical control system, there are two main components: the controller, analogous to the brain-mind, and the system, which symbolizes the tasks and processes governed by the mind. By applying the framework of systems and control theory, we effectively interpret the two distinct mind modes through the concepts of open-loop and closed-loop (feedback) control strategies. Furthermore, the work in this paper primarily reveals that various brain-mind related issues, such as depression, delusion, and conflict, are often viewed as instabilities in control systems. We reinforce this perspective with numerical examples that not only illustrate the root causes of these issues but also highlight how altering goals, controllers, and models within brain-mind systems can potentially alleviate these problems. Finally, the work explores how mindfulness and biofeedback practices can be interpreted within the framework of systems and control theory, enhancing our understanding of these practices.