How will the capacity of solving a problem in creatures be brought about? This is a tough question that has been
studied so far by scientific minds of every different period since ancient Greek times. Tackling the question as
basic science, we expect to deepen understanding of human being itself, and to contribute toward technological
innovation of new design for human-friendly interface to machines and robots.
We select single-celled organisms as main research object in order to evaluate high ability for information
processing by experiment, and we elucidate the mechanism from a dynamical system point of view. Our research
strategy is that, by using an advantage of simple organization of body, we describe behavioral intelligence of
creature in terms of physical equations of motion. It is an exploration to an origin of organismic intelligence.
To do that, we like to use theories, experiments and field works, based on biology, mathematics, physics and
- Searching for an elementary algorism of behavioral intelligence that may be common from amoeba to human
- Searching for design method of human-friendly interface to machines and robots
- Developing an imaging technique for observing the physical processes of behavior in single-celled organisms
- Exploring the equations of motion that enable diversity and flexibility of behavioral patterns in organisms
- Optimization of structural shape and function based on a theory of biological adaptability.
- Mechanics and rheology in locomotion of lower organisms.
Schenz,D., Shima, Y., Kuroda,S.,
Nakagaki,T., Ueda,K., "A Mathematical Model for Adaptive Vein Formation during Exploratory Migration
of Physarum polycephalum: Routing while Scouting", J. Phys. D: Appl. Phys 50: 404001 (14pp)
I., Ueda,K., Akita,D., Kuroda,S., Nakagaki,T., "Behavioural differentiation induced by environmental
variation when crossing a toxic zone in an amoeba", J. Phys. D: Appl. Phys 50: 354002 (15pp)
"Current reinforcement model reproduces centre-in-centre vein trajectory of Physarum polycephalum",
Development, Growth & Differentiation, DOI:10.1111/dgd.12384, (2017.7.13)
Kuroda,S., Takagi,S., Saegusa,T., Nakagaki,T.,
"Physical ethology of unicellular organism", In Brain Evolution by Design (eds. Shigeno,S.,
Murakami,Y. N2omura,T) (Springer, New York) (2017.2.17)
Akita,D., Kunita, I. Fricker, M. D., Kuroda,
S., Sato, K., Nakagaki,T., "Experimental models for Murray's Law", J. Phys. D: Appl. Phys., 50,
Kunita,I., Yamaguchi,T., Tero,A., Akiyama,M.,
Kuroda,S., Nakagaki,Y., "
A ciliate memorizes the geometry of a swimming arena", J. R. Soc. Interface 13: 20160155 (2016)
Kunita,I., Kuroda,S., Ohki,K.,
Nakagaki,T., (2014) Attempts to retreat from a dead-ended long capillary by backward swimming in
Paramecium, Frontiers in microbiology, 5, 270, doi:10.3389/fmicb.2014.00270
Tanaka,Y. Ito,K. Nakagaki,T.
Kobayashi,R. J R Soc Interface
A. Tero, S. Takagi, T. Saigusa, K. Ito, D. P. Bebber, M. D. Fricker, K. Yumiki, R. Kobayashi and T.
Nakagaki : “Rules for biologically-inspired adaptive network design”, Science, 327 : 439-442 (2010)
Kenji Matsumoto, Seiji Takagi and Toshiyuki Nakagaki : "Locomotive Mechanism of Physarum Plasmodia based
on Spatiotemporal Analysis of Protoplasmic Streaming", Biophysical Journal, Vol. 94, 2492-2504 (2008)
Seiji Takagi, Yasumasa Nishiura, Toshiyuki Nakagaki, Tetsuo Ueda, Kei-ichi Ueda: “Indecisive behavior of
amoeba crossing an environmental barrier”, Proceedings of Int. Symp. On Topological Aspects of Critical
Systems and Networks (World Scientific Publishing Co.), 86-93 (2007)
Atsushi Tero, Ryo Kobayashi and Toshiyuki Nakagaki: “Mathematical model for adaptive transport network
in path finding by true slime mold”, Journal of Theoretical Biology, Vol. 244, 553-564 (2007)
Toshiyuki Nakagaki, Hiroyasu Yamada and A’gota To’th: “Maze-solving by an amoeboid organism”Nature
Vol.407 (2000), 470