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Mathematical Modeling and Adaptive Networks Lab
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The lab uses mathematical models to study the behavior of organisms such as slime molds.
AboutAbout the lab
Understanding the behavior of organisms through mathematical models.
Associate Professor Atsushi Tero's lab uses mathematical models to study the mechanisms of behavior and intelligence in organisms.
The professor's researcher information page lists a research topic in which the behavior of the true slime mold, a multinucleate single-celled organism, is described by model equations and reproduced on a computer.
It also lists a topic on understanding, through numerical experiments and experiments on real hardware, how the control of behavior arises from resonance between periodic movements such as walking and the body's internal state.
The lab belongs to the Applied Theory Division of the Institute of Mathematics for Industry.
Key terms
- True slime mold
- A multinucleate single-celled organism. Experiments have shown that it can solve mazes and find optimal networks
- Mathematical model
- A description of how a phenomenon works, expressed in mathematical formulas. It can be run on a computer to reproduce the phenomenon
- Resonance
- A phenomenon in which motion with the same period appears strongly in response to a periodic stimulus
NewsLab news
The associate professor and a student won the Best Poster Award at the Interdisciplinary and Cross-Industry Research Exchange Meeting 2025
The associate professor and a student won the Best Poster Award at the Interdisciplinary and Cross-Industry Research Exchange Meeting 2024
ResearchResearch themes
Associate Professor Atsushi Tero's researcher information page lists research topics on understanding the mechanisms of behavior and intelligence in organisms through mathematical models. Introduced here are the control of behavior arising from periodic movements, and the networks and intelligence of the true slime mold; the entries on the page date from around 2007 to 2013.
*Illustrative imagePeriodic movements and the control of behavior
Periodic movements such as walking affect the body's internal state, drawing out hidden periodicity inside the body and influencing the control of behavior. Focusing on this resonance, the lab aims to understand how organisms carry out tasks through numerical experiments and experiments on real hardware.
*Illustrative imageAdaptive networks and intelligence of slime molds
Experiments have shown that the true slime mold, a multinucleate single-celled organism, can solve mazes, find optimal networks, and remember time intervals in order to act in anticipation. The lab describes this behavior with model equations, reproduces it on a computer, and investigates the origin of intelligence in organisms.
MembersFaculty
- Associate ProfessorAtsushi Tero
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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: “Unidentified slime mold” Jerzy Opioła / CC BY-SA 4.0 (cropped)
- Periodic movements and the control of behavior: “Metronome (pendulum swinging)” AndonicO / CC BY 2.5 (cropped)
- Adaptive networks and intelligence of slime molds: “Physarum psittacinum124” HelenGinger / CC BY-SA 3.0 (cropped)
- Related lab (Mathematical Modeling and Adaptive Networks Lab): “Ethology diversity” DrChrissy / CC BY-SA 3.0 (cropped)
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- Related lab (Numerical Analysis and Computational Fluid Dynamics Lab): “AbsoluteErrorNumericalDifferentiationExample” Berland / Public domain (cropped)
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