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Tokita Lab
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The lab uses mathematics and computation to unravel complex phenomena that arise from many interacting elements.

AboutAbout the lab
Understanding complex phenomena through mathematics and computation
The Tokita Lab studies how to understand and control "complex systems", in which many interacting elements cause the whole to behave in complex ways, using methods from mathematics and physics.
The subjects include ecosystems, metabolic systems inside cells, the immune system, biopolymers, neural networks and deep learning, combinatorial optimization problems, information systems, economic systems, and social systems.
The lab uses methods such as nonlinear dynamics, statistical physics, and computational physics.
The lab regards seemingly unrelated problems as mathematically close, in that they are phenomena that appear when many simple components interact in complex ways.
Key terms
- complex systems
- Systems in which many elements influence one another and the whole behaves in a complex way. Examples include ecosystems, the immune system, and social systems
- statistical physics
- A field of physics that uses mathematical methods to study the properties of systems made up of many elements
- computational physics
- A field that investigates physics problems using computer calculations and simulations
NewsLab news
View More ↗ResearchResearch themes
Many things in the world can be described by simple equations, but when their number grows, the whole system behaves in very complex ways. This lab studies how to understand and control such complex systems mathematically, using methods such as nonlinear dynamics, statistical physics, and computational physics.
View More ↗MembersFaculty
The members of the Tokita Lab are faculty and master's students.
- ProfessorKei Tokita
- Assistant ProfessorRie Masukawa
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “C.elegans-brain-network” Mentatseb / CC BY-SA 3.0 (cropped)
- Understanding and controlling complex systems through mathematics: “Chaos Theory & Double Pendulum - 4” Cristian V. / CC BY-SA 4.0 (cropped)
- Related lab (多自由度システム情報論講座 谷村 省吾): “Double slit intensity” Bleckneuhaus / CC0 (cropped)
- Related lab (多自由度システム情報論講座 中村 泰之): “Tabletunterricht 06” Aigner Ronja, Kohlmeier Michelle / CC0 (cropped)
- Related lab (人工生命ラボラトリ ALIFE-CORE
(鈴木研究室) ): “A starling murmuration at Prestwick - geograph.org.uk - 5991171” Walter Baxter / CC BY-SA 2.0 (cropped) - Related lab (鈴木
(泰) 研究室 (Suzuki Lab) ): “Tracer speaker and subwoofer” User:Piotrus / CC BY-SA 3.0 (cropped)
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