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Physarum polycephalum is a single-celled, multi-nucleated slime mold whose body constitutes a network of veins. As it explores its environment, it adapts and optimizes its network to external stimuli. It has been shown to exhibit complex…

Fluid Dynamics · Physics 2023-09-20 Ana Filipa Valente

In the realm of biological flow networks, the ability to dynamically adjust to varying demands is paramount. Drawing inspiration from the remarkable adaptability of Physarum polycephalum, we present a novel physical mechanism tailored to…

Soft Condensed Matter · Physics 2023-10-05 Vidyesh Rao Anisetti , Ananth Kandala , J. M. Schwarz

The true slime mould Physarum polycephalum is a recent well studied example of how complex transport networks emerge from simple auto-catalytic and self- organising local interactions, adapting structure and function against changing…

Emerging Technologies · Computer Science 2015-03-29 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

Optimization of fluid transport in the slime mold Physarum polycephalum has been the subject of several modeling efforts in recent literature. Existing models assume that the tube adaptation mechanism in P. polycephalum's tubular network is…

Tissues and Organs · Quantitative Biology 2019-07-01 Vincenzo Bonifaci

Understanding vascular adaptation, namely what drives veins to shrink or grow, is key for the self-organization of flow networks and their optimization. From the top-down principle of minimizing flow dissipation at a fixed metabolic cost…

Soft Condensed Matter · Physics 2023-03-06 Sophie Marbach , Noah Ziethen , Karen Alim

In wet-lab experiments, the slime mold Physarum polycephalum has demonstrated its ability to solve shortest path problems and to design efficient networks. For the shortest path problem, a mathematical model for the evolution of the slime…

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

Active fluid transport is a hallmark of many biological transport networks. While animal circulatory systems generally rely on a single heart to drive flows, other organisms employ decentralized local pumps to distribute fluids and…

Biological Physics · Physics 2024-01-04 Adam B. Dionne , Katharine E. Jensen , Henrik Ronellenfitsch

The true slime mold \textit{Physarum polycephalum} has the remarkable capability to perform self-organized activities such as network formation among food sources. Despite well reproducing the emergence of slime networks, existing models…

Populations and Evolution · Quantitative Biology 2025-08-04 Damiano Reginato , Daniele Proverbio , Giulia Giordano

Physarum Polycephalum is a slime mold that is apparently able to solve shortest path problems. A mathematical model has been proposed by biologists to describe the feedback mechanism used by the slime mold to adapt its tubular channels…

Data Structures and Algorithms · Computer Science 2019-07-01 Vincenzo Bonifaci , Kurt Mehlhorn , Girish Varma

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

We derive the main properties of adaptive Hagen-Poiseuille flows in elastic microchannel networks similar to biological veins found in organisms. We demonstrate that adaptive Hagen-Poiseuille flows effectively simulate key features of…

Cell Behavior · Quantitative Biology 2025-06-27 A. F. Valente , R. Almeida , R. Dilão

True slime mould Physarum polycephalum approximates a range of complex computations via growth and adaptation of its proto- plasmic transport network, stimulating a large body of recent research into how such a simple organism can perform…

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

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

The model organism Physarum polycephalum is known to perform decentralised problem solving despite absence of nervous system. Experimental evidence and modelling studies have linked these abilities, and in particular maze-solving, to some…

Biological Physics · Physics 2026-02-19 Daniele Proverbio , Giulia Giordano

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

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

The slime mould Physarum polycephalum is known to construct proto- plasmic transport networks which approximate proximity graphs by forag- ing for nutrients during its plasmodial life cycle stage. In these networks, nodes are represented by…

Emerging Technologies · Computer Science 2015-11-19 Jeff Jones , Richard Mayne , Andrew Adamatzky

Inspired by the growth dynamics of the protist \textit{Physarum polycephalum}, we employ a formalism that describes adaptive, incompressible Hagen-Poiseuille flows on channel networks to identify graphs connecting different nodes within…

Physics and Society · Physics 2025-07-18 Rodrigo Almeida , Ana Filipa Valente , Rui Dilão
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