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The Physarum solver is an intuitive mechanism for solving optimisation problems based on the idea of an electrical network, whereby the conductivity is reinforced by the current. We show that the Physarum solver obtains the solution to the…

Optimization and Control · Mathematics 2011-01-28 Kentaro Ito , Anders Johansson , Toshiyuki Nakagaki , Atsushi Tero

In this demo, we present a novel technique for approximating topologically optimal scaffoldings for 3D printed objects using a Monte Carlo algorithm based on the foraging behavior of the Physarum polycephalum slime mold. As a case study, we…

Graphics · Computer Science 2022-12-23 Drew Ehrlich , Milad Hakimshafaei , Oskar Elek

Slime mould \emph{Physarum polycephalum} is a large single cell capable for distributed sensing, concurrent information processing, parallel computation and decentralised actuation. The ease of culturing and experimenting with Physarum…

Emerging Technologies · Computer Science 2015-12-29 Andrew Adamatzky

A fundamental question regarding biological transport networks is the interplay between the network development or reorganization and the flows it carries. We use Physarum polycephalum, a true slime mould with a transport network which…

Biological Physics · Physics 2022-12-27 Raphaël Saiseau , Valentin Busson , Laura Xénard , Marc Durand

Many studies have shown that Physarum polycephalum slime mold is able to find the shortest path in a maze. In this paper we study this behavior in a network, using a hyperbolic model of chemotaxis. Suitable transmission and boundary…

Numerical Analysis · Mathematics 2016-01-07 Gabriella Bretti , Roberto Natalini

Slime mould of Physarum polycephalum is a large cell exhibiting rich spatial non-linear electrical characteristics. We exploit the electrical properties of the slime mould to implement logic gates using a flexible hardware platform designed…

Emerging Technologies · Computer Science 2016-07-11 Simon Harding , Jan Koutnik , Klaus Greff , Jurgen Schmidhuber , Andy Adamatzky

Acellular slime mould Physarum polycephalum is a popular now user-friendly living substrate for designing of future and emergent sensing and computing devices. P. polycephalum exhibits regular patterns of oscillations of its surface…

Emerging Technologies · Computer Science 2013-12-17 Andrew Adamatzky

Recently, it was shown that the amoeba-like cell {\it Physarum polycephalum} when exposed to a pattern of periodic environmental changes learns and adapts its behavior in anticipation of the next stimulus to come. Here we show that such…

Cell Behavior · Quantitative Biology 2009-11-21 Yuriy V. Pershin , Steven La Fontaine , Massimiliano Di Ventra

Wounding is a severe impairment of function, especially for an exposed organism like the network-forming true slime mould Physarum polycephalum. The tubular network making up the organism's body plan is entirely interconnected and shares a…

Quantitative Methods · Quantitative Biology 2017-10-25 Felix Bäuerle , Mirna Kramar , Karen Alim

The giant single-celled slime mould Physarum polycephalum has inspired rapid develop- ments in unconventional computing substrates since the start of this century. This is primarily due to its simple component parts and the distributed…

Emerging Technologies · Computer Science 2015-11-19 Jeff Jones

The giant single-celled slime mould Physarum polycephalum exhibits complex morphological adaptation and amoeboid movement as it forages for food and may be seen as a minimal example of complex robotic behaviour. Swarm computation has…

Multiagent Systems · Computer Science 2012-12-04 Jeff Jones , Andrew Adamatzky

Very simple organisms, such as the single-celled amoeboid slime mould Physarum polycephalum possess no neural tissue yet, despite this, are known to exhibit complex biological and computational behaviour. Given such limited resources, can…

Emerging Technologies · Computer Science 2015-11-25 Jeff Jones

Plasmodium of Physarum polycephalum is a large cell capable of solving graph-theoretic, optimization and computational geometry problems due to its unique foraging behavior. Also the plasmodium is unique biological substrate that mimics…

Adaptation and Self-Organizing Systems · Physics 2010-11-23 Andrew Adamatzky , Jeff Jones

Collective movement occurs in living systems where the simple movements of individual members of a pop- ulation are combined to generate movement of the collective as a whole, displaying complex dynamics which cannot be found in the…

Emerging Technologies · Computer Science 2015-11-25 Jeff Jones

Extremely increased unstructured data brought by the large-scale intelligent sensing devices application have big challenges not only in data storing and processing but also power consumption surging. Therefore, to improve energy efficiency…

Neural and Evolutionary Computing · Computer Science 2025-05-28 Jialin Liu , Diansheng Liao

The plasmodium of the slime mould Physarum polycephalum has recently received significant attention for its value as a highly malleable amorphous computing substrate. In laboratory-based experiments, micro- and nanoscale artificial circuit…

Emerging Technologies · Computer Science 2013-11-19 Richard Mayne , Andrew Adamatzky

We experimentally derived a unique one-to-one mapping between a range of selected bioactive chemicals and patterns of oscillations of the slime mould's extacellular electrical potential.

Emerging Technologies · Computer Science 2013-12-17 James G. H. Whiting , Ben P. J. de Lacy Costello , Andrew Adamatzky

We study the dynamics of a simple adaptive system in the presence of noise and periodic damping. The system is composed by two paths connecting a source and a sink, the dynamics is governed by equations that usually describe food search of…

Statistical Mechanics · Physics 2021-12-23 Frederic Folz , Kurt Mehlhorn , Giovanna Morigi

The slime mould Physarum polycephalum has emerged as a model for self-organisation and coordination of contractile activity at large spatial scales. This self-organisation largely results from cytoplasmic flows generated by propagating…

Soft Condensed Matter · Physics 2025-09-23 Raphael Saiseau , Valentin Busson , Marc Durand

Biological systems display impressive capabilities in effectively responding to environmental signals in real time. There is increasing evidence that organisms may indeed be employing near optimal Bayesian calculations in their…

Neurons and Cognition · Quantitative Biology 2010-02-12 Steve Yaeli , Ron Meir