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.
A01-1 Team YODA
Multiscale understanding of navigation in wild animals using bio-logging techniques
A01-2 Team HIRYU
Understanding the hierarchical navigation of bats using the acoustic cyberspace
A01-3 Team TAKAHASHI
Elucidation of the neuronal underpinning of hierarchical navigation by measuring and manipulating the activity of place and grid cells
A01-4 Team NISHIMORI
Long-term observation of ant colonies with identification of all individuals and systematic analysis of organizational dynamics
A01-5 Publicly Offered Research
Publicly Offered Research