Substrate and cell fusion influence on slime mold network dynamics

Patino-Ramirez, Fernando; Arson, Chloé; Dussutour, Audrey

doi:10.1038/s41598-020-80320-2

Cited by 10 publications

(11 citation statements)

References 63 publications

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“…The stable line after the peak represents the slow evolution of the pattern. Biological simulations also exhibit a similar behavior, showing our method acts as expected [PRAD21,MZB*21]. The evaporation rate affects pheromone coverage and presence, as shown in Figure 8c.…”

Section: Resultssupporting

confidence: 77%

MoMaS: Mold Manifold Simulation for real‐time procedural texturing

Maggioli

Marin

Melzi

et al. 2022

Computer Graphics Forum

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The slime mold algorithm has recently been under the spotlight thanks to its compelling properties studied across many disciplines like biology, computation theory, and artificial intelligence. However, existing implementations act only on planar surfaces, and no adaptation to arbitrary surfaces is available. Inspired by this gap, we propose a novel characterization of the mold algorithm to work on arbitrary curved surfaces. Our algorithm is easily parallelizable on GPUs and allows to model the evolution of millions of agents in real‐time over surface meshes with several thousand triangles, while keeping the simplicity proper of the slime paradigm. We perform a comprehensive set of experiments, providing insights on stability, behavior, and sensibility to various design choices. We characterize a broad collection of behaviors with a limited set of controllable and interpretable parameters, enabling a novel family of heterogeneous and high‐quality procedural textures. The appearance and complexity of these patterns are well‐suited to diverse materials and scopes, and we add another layer of generalization by allowing different mold species to compete and interact in parallel.

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Section: Resultssupporting

confidence: 77%

MoMaS: Mold Manifold Simulation for real‐time procedural texturing

Maggioli

Marin

Melzi

et al. 2022

Computer Graphics Forum

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“…This is useful because slime molds move relatively slow, <0.5 mm h −1 , and avoid light (negative phototaxis). [23,[36][37][38] PDA films offer a simple and effective means for passive, noninvasive, long-term surveillance.…”

Section: Slime Mold Locomotion Induced Mechanochromismmentioning

confidence: 99%

Tracking Mechanical Stress and Cell Migration with Inexpensive Polymer Thin‐Film Sensors

Finney

Frank

Bull

et al. 2022

Adv Materials Inter

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Polydiacetylene (PDA) Langmuir films are well known for their blue‐to‐red chromatic transitions in response to a variety of stimuli, including UV light, heat, bio‐molecule bindings, and mechanical stress. In this work, the ability to tune PDA Langmuir films to exhibit discrete chromatic transitions in response to applied mechanical stress is detailed. Normal and shear‐induced transitions are quantified using the Surface Forces Apparatus and established to be binary and tunable as a function of film formation conditions. Both monomer alkyl tail length and metal cations are used to manipulate the chromatic transition force threshold to enable discrete force sensing from ≈50 to ≈500 nN µm−2 for normal loading and ≈2 to ≈40 nN µm−2 for shear‐induced transitions, which are appropriate for biological cells. The utility of PDA thin‐film sensors is demonstrated with the slime mold Physarum polycephalum. The fluorescence readout of the films enabled: the area explored by Physarum to be visualized, the forces involved in locomotion to be quantified, and revealed novel puncta formation potentially associated with Physarum sampling its environment.

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“…Moreover, Physarum Polycephalum is capable of learning and remembering despite being just a single-celled organism [5]. These organisms are also able to fuse and share information with each other as they fuse [12]. In what follows we shall first recall the CELL model, and then give a description of swarm algorithms and of the Steiner tree problem.…”

Section: Introductionmentioning

confidence: 99%

The Power of Many: A Physarum Swarm Steiner Tree Algorithm

Schaposnik

Hsu

Massolo

2021

Preprint

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This paper presents a novel explore-and-fuse approach to solving a large array of problems that cannot be solved by traditional divide-and-conquer. This approach is inspired by Physarum, a unicellular slime mold capable of solving the traveling salesman and Steiner tree problems. Besides exhibiting individual intelligence, Physarum can also share information with other Physarum organisms through fusion. Inspired by the characteristics of Physarum, we spawn many Physarum organisms to explore the problem space in parallel, each gathering information and forming partial solutions pertaining to a local region of the problem space. When the organisms meet, they fuse and share information, eventually forming one organism which has a global view of the problem and can apply its intelligence to find an overall solution to the problem. We demonstrate this novel approach on the NP-hard Steiner tree problem, developing the Physarum Steiner Algorithm. This algorithm is of particular interest due to its ability to leverage parallel processing, avoid obstacles, and operate on various shapes and topological surfaces including the rectilinear grid.

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Substrate and cell fusion influence on slime mold network dynamics

Cited by 10 publications

References 63 publications

MoMaS: Mold Manifold Simulation for real‐time procedural texturing

MoMaS: Mold Manifold Simulation for real‐time procedural texturing

Tracking Mechanical Stress and Cell Migration with Inexpensive Polymer Thin‐Film Sensors

The Power of Many: A Physarum Swarm Steiner Tree Algorithm

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