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In this work we study and expand a model describing the dynamics of a unicellular slime mold, Physarum Polycephalum (PP), which was proposed to simulate the ability of PP to find the shortest path connecting two food sources in a maze. The…

Numerical Analysis · Mathematics 2020-09-29 Enrico Facca , Franco Cardin , Mario Putti

The living mycelium networks are capable of efficient sensorial fusion over very large areas and distributed decision making. The information processing in the mycelium networks is implemented via propagation of electrical and chemical…

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

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

This paper proposes the use of Eukaryotic cells, namely astrocytes, to develop logic gates. The logic gates are achieved by manipulating the threshold of Ca$^{2+}$ ion flows between the cells, based on the input signals. Through wet-lab…

How do non-neural organisms, such as the slime mould \textit{Physarum polycephalum}, anticipate periodic events in their environment? We present a minimal, biologically inspired reservoir model that demonstrates simple temporal anticipation…

Neurons and Cognition · Quantitative Biology 2025-05-06 Polyphony Bruna , Linnéa Gyllingberg

The aim of this work is to quantify the spatio-temporal dynamics of flow-driven amoeboid locomotion in small ($\sim$100 $\mu$m) fragments of the true slime mold \phys {\it polycephalum}. In this model organism, cellular contraction drives…

Cell Behavior · Quantitative Biology 2017-05-24 Shun Zhang , Robert D. Guy , Juan C. Lasheras , Juan C. del Alamo

A fungal colony maintains its integrity via flow of cytoplasm along mycelium network. This flow, together with possible coordination of mycelium tips propagation, is controlled by calcium waves and associated waves of electrical potential…

Emerging Technologies · Computer Science 2020-02-25 Andrew Adamatzky , Martin Tegelaar , Han A. B. Wosten , Anna L. Powell , Alexander E. Beasley , Richard Mayne

Plasmodium of Physarym polycephalum is an ideal biological substrate for implementing concurrent and parallel computation, including combinatorial geometry and optimization on graphs. We report results of scoping experiments on Physarum…

Robotics · Computer Science 2010-11-23 Andrew Adamatzky

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

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

Anisotropy describes the directional dependence of a material's properties such as transport and optical response. In conventional bulk materials, anisotropy is intrinsically related to the crystal structure, and thus not tunable by the…

Materials Science · Physics 2017-02-10 Ting Cao , Zhenglu Li , Diana Y. Qiu , Steven G. Louie

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

Network-forming organisms, like fungi and slime molds, dynamically reorganize their networks during foraging. The resulting re-routing of resource flows within the organism's network can significantly impact local ecosystems. In current…

Biological Physics · Physics 2024-09-02 Lisa Schick , Mirna Kramar , Karen Alim

Building mathematical models of brains is difficult because of the sheer complexity of the problem. One potential starting point is through basal cognition, which gives abstract representation of a range of organisms without central nervous…

Neurons and Cognition · Quantitative Biology 2024-11-08 Linnéa Gyllingberg , Yu Tian , David J. T. Sumpter

Mycelium networks are promising substrates for designing unconventional computing devices providing rich topologies and geometries where signals propagate and interact. Fulfilling our long-term objectives of prototyping electrical analog…

Emerging Technologies · Computer Science 2021-07-02 Alexander E. Beasley , Phil Ayres , Martin Tegelaar , Michail-Antisthenis Tsompanas , Andrew Adamatzky

Purpose: Protoplasmic tubes of Physarum polycephalum, also know as Physarum Wires (PW), have been previously suggested as novel bio- electronic components. Until recently, practical examples of electronic circuits using PWs have been…

Emerging Technologies · Computer Science 2015-11-26 James G. H. Whiting , Richard Mayne , Nadine Moody , Ben de Lacy Costello , Andrew Adamatzky

Cord-forming fungi form extensive networks that continuously adapt to maintain an efficient transport system. As osmotically driven water uptake is often distal from the tips, and aqueous fluids are incompressible, we propose that growth…

Tissues and Organs · Quantitative Biology 2010-05-31 Luke Heaton , Eduardo Lopez , Philip K. Maini , Mark D. Fricker , Nick S. Jones

Living substrates are capable for nontrivial mappings of electrical signals due to the substrate nonlinear electrical characteristics. This property can be used to realise Boolean functions. Input logical values are represented by amplitude…

Emerging Technologies · Computer Science 2021-08-12 Nic Roberts , Andrew Adamatzky

Complex distribution networks are pervasive in biology. Examples include nutrient transport in the slime mold \emph{Physarum polycephalum} as well as mammalian and plant venation. Adaptive rules are believed to guide development of these…

Adaptation and Self-Organizing Systems · Physics 2019-12-16 Henrik Ronellenfitsch , Eleni Katifori