Life maintains its internal integrity through interactions across multi-scale hierarchical structures ranging from molecules, cells, to tissues and organs. The objective of our group is to elucidate the mechanisms by which biological phenomena at one hierarchical level affect the other levels and thereby determine the biological characteristics of the entire individual. We apply cutting-edge technology in informatics, such as artificial intelligence, to tackle this very fundamental problem in biology. Specifically, we aim at establishing informatics on the following two principal problems in quantum life science: (1) how intracellular dynamics revealed by quantum technology, such as diamond nitrogen-vacancy centers, could govern the fate of a cell or a whole individual and (2) if the quantum probability theory, the mathematical foundation of quantum mechanics, could be used to better describe some macroscopic phenomena (e.g. psychological and neuronal processes) compared to extant classical models.
Team Leader, Noriaki Yahata
Recent Publications
Naoko Koide-Majima, Shinji Nishimoto, Kei Majima, "Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation" Neural Networks; DOI:10.1016/j.neunet.2023.11.024 (2023)