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Related papers: Towards Physarum Engines

200 papers

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

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

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

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

The plasmodium of slime mould Physarum polycephalum behaves as an amorphous reaction-diffusion computing substrate and is capable of apparently intelligent behaviour. But how does intelligence emerge in an acellular organism? Through a…

Emerging Technologies · Computer Science 2015-03-11 Richard Mayne , Andrew Adamatzky , Jeff Jones

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

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

The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as an…

Physarum Polycephalum is a unicellular slime mold that has been intensely studied due to its ability to solve mazes, find shortest paths, generate Steiner trees, share knowledge, remember past events, and its applications to unconventional…

Biological Physics · Physics 2022-10-18 Sheryl Hsu , Laura P. Schaposnik

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

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

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

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

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

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

The plasmodium of Physarum polycephalum is renowned for spanning sources of nutrients with networks of protoplasmic tubes. The networks transport nutrients and metabolites across the plasmodium's body. To imitate a hypothetical colonisation…

Adaptation and Self-Organizing Systems · Physics 2012-09-19 Andrew Adamatzky

We investigate flow-driven amoeboid motility as exhibited by microplasmodia of Physarum polycephalum. A poroelastic two-phase model with rigid boundaries is extended to the case of free boundaries and substrate friction. The cytoskeleton is…

Soft Condensed Matter · Physics 2018-11-14 Dirk Alexander Kulawiak , Jakob Löber , Markus Bär , Harald Engel

The Phychip project is a collaborative European research initiative to design and implement computation using the organism Physarum polycephalum; it is funded by the Seventh Framework Programme (FP7) by the European Commission within CORDIS…

Emerging Technologies · Computer Science 2014-11-26 James G. H. Whiting , Ben P. J. de Lacy Costello , Andrew Adamatzky

Plasmodium of Physarum polycephalum is a single cell visible by unaided eye. During its foraging behavior the cell spans spatially distributed sources of nutrients with a protoplasmic network. Geometrical structure of the protoplasmic…

Pattern Formation and Solitons · Physics 2015-03-17 Andrew Adamatzky , Genaro J. Martinez , Sergio V. Chapa-Vergara , Rene Asomoza-Palacio , Christopher R. Stephens

Decision-making is the process of selecting an action among alternatives, allowing biological and artificial systems to navigate complex environments and optimize behavior. While neural systems rely on neuron-based sensory processing and…

Biological Physics · Physics 2025-06-17 Lisa Schick , Emily Eichenlaub , Fabian Drexel , Alexander Mayer , Siyu Chen , Marcus Roper , Karen Alim