Construction of a mathematical model
that describes the behavior,
mechanism, and function of freely moving animals.

We will collect behavioral big data on hierarchical navigation by measuring the behavior of various animal species (including humans) in the real world. We will create mathematical models to understand the relationships between internal information (e.g., body temperature, blood glucose levels, and neural activities), environmental information (e.g., ambient temperature and weather), and behavior. We will then verify the mathematical model by environmental intervention experiments (e.g., transporting animals) or by neural intervention using physiological methods (e.g., stimulating the brain). Furthermore, the mathematical models are sophisticated because they repeatedly test whether the manipulation results fit the predicted movement patterns.