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We construct electronic oscillator from acellular slime mould Physarum polycephalum. The slime mould oscillator is made of two electrodes connected by a protoplasmic tube of the living slime mould. A protoplasmic tube has an average…

Emerging Technologies · Computer Science 2014-03-31 Andrew Adamatzky

Plasmodium of \emph{Physarum polycephalum} is a single huge (visible by naked eye) cell with myriad of nuclei. The plasmodium is a promising substrate for non-classical, nature-inspired, computing devices. It is capable for approximation of…

Robotics · Computer Science 2010-11-23 Andrew Adamatzky

In laboratory experiments we demonstrate that protoplasmic tubes of acellular slime mould \emph{Physarum polycephalum} show current versus voltage profiles consistent with memristive systems and that the effect is due to the living…

Emerging Technologies · Computer Science 2014-11-25 Ella Gale , Andrew Adamatzky , Ben de Lacy Costello

Plasmodium of \emph{Physarum polycephalum} is a single cell visible by unaided eye. On a non-nutrient substrate the plasmodium propagates as a traveling localization, as a compact wave-fragment of protoplasm. The plasmodium-localization…

Pattern Formation and Solitons · Physics 2012-08-14 Andrew Adamatzky

We report experimental laboratory studies on developing conductive pathways, or wires, using protoplasmic tubes of plasmodium of acellular slime mould Physarum polycephalum. Given two pins to be connected by a wire, we place a piece of…

Biological Physics · Physics 2013-09-17 Andrew Adamatzky

We implement Kolmogorov-Uspensky machine on a plasmodium of true slime mold {\em Physarum polycephalum}. We provide experimental findings on realization of the machine instructions, illustrate basic operations, and elements of programming.

Hardware Architecture · Computer Science 2010-11-23 Andrew Adamatzky

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

Belgium is amongst few artificial countries, established on purpose, when Dutch and French speaking parts were joined in a single unit. This makes Belgium a particularly interesting testbed for studying bio-inspired techniques for…

Adaptation and Self-Organizing Systems · Physics 2011-12-21 Andrew Adamatzky , Bernard De Baets , Wesley Van Dessel

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

Physarum polycephalum is a large single amoeba cell, which in its plasmodial phase,forages and connects nearby food sources with protoplasmic tubes. The organism forages for food by growing these tubes towards detected food stuffs, this…

Emerging Technologies · Computer Science 2014-06-10 James G. H. Whiting , Ben P. J. de Lacy Costello , Andrew Adamatzky

Plasmodium of Physarum polycephalum is a large single cell visible by unaided eye. It shows sophisticated behavioural traits in foraging for nutrients and developing an optimal transport network of protoplasmic tubes spanning sources of…

Emerging Technologies · Computer Science 2013-05-03 Andrew Adamatzky , Genaro J. Martinez

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

Plasmodium of Physarum polycephalum is a large cell, visible by unaided eye, which exhibits sophisticated patterns of foraging behaviour. The plasmodium's behaviour is well interpreted in terms of computation, where data are spatially…

Pattern Formation and Solitons · Physics 2012-06-25 Andrew Adamatzky

Using a particle model of Physarum displaying emer- gent morphological adaptation behaviour we demonstrate how a minimal approach to collective material computation may be used to transform and summarise properties of spatially represented…

Emerging Technologies · Computer Science 2015-03-12 Jeff Jones , Andrew Adamatzky

Plasmodium of Physarum polycephalum is a single cell visible by unaided eye, which spans sources of nutrients with its protoplasmic network. In a very simple experimental setup we recorded electric potential of the propagating plasmodium.…

Pattern Formation and Solitons · Physics 2011-07-18 Andrew Adamatzky , Jeff Jones

Life evolved organisms to adapt dynamically to their environment and autonomously exhibit behaviours. While complex behaviours in organisms are typically associated with the capability of neurons to process information, the unicellular…

Biological Physics · Physics 2023-06-16 Mathieu Le Verge-Serandour , Karen Alim

Plasmodium of true slime mold, Physarum polycephalum, is an amoeboid organism, which spreads with developing tubular network structure and crawls on two-dimensional plane with oscillating the cell thickness. The plasmodium transforms its…

Adaptation and Self-Organizing Systems · Physics 2009-04-10 Yuki Kagawa , Atsuko Takamatsu

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

A dynamic self-organized morphology is the hallmark of network-shaped organisms like slime moulds and fungi. Organisms continuously re-organize their flexible, undifferentiated body plans to forage for food. Among these organisms the slime…

Biological Physics · Physics 2019-03-27 Karen Alim

The slime mould Physarum polycephalum displays adaptive transport dynamics and network formation that have inspired its use as a model of biological computation. We develop a Lagrangian formulation of Physarum's adaptive dynamics on…

Neurons and Cognition · Quantitative Biology 2025-11-12 Ricard Solé , Jordi Pla-Mauri