Abstract: Identifying causality from observational time-series data is a key problem in dealing with complex dynamic systems. Inferring the direction of connection between brain regions (i.e., ...

Abstract: In the real world, how to effectively learn consistent similarity measurement across different modalities is essential. Most of the existing similarity learning methods cannot deal well with ...

Network physiology addresses global physiological states that arise self-organized through the interactions among the individual components of the human organism and is therefore intimately linked to ...

In Chapter 2, I demonstrated that the physical movement of walking is a dynamic mechanism (a heat sink) for disposing of the gravity of high-entropy 'meaning' generated in dialogue into space. However ...