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Updated: Jun 2, 2026

A Method for Growing Bio-memristors from Slime Mold
Published on: November 2, 2017
Rebuilding Iberian motorways with slime mould
Andrew Adamatzky1, Ramon Alonso-Sanz
1University of the West of England, Bristol BS16 1QY, United Kingdom. andrew.adamatzky@uwe.ac.uk
The Physarum polycephalum slime mold creates efficient networks, mimicking Spain and Portugal's motorway systems. This research compares natural slime mold networks to man-made infrastructure.
Area of Science:
- Computational Biology
- Network Science
- Bio-inspired Computing
Background:
- The Physarum polycephalum plasmodium is a biological system capable of solving complex computational problems.
- It naturally forms efficient foraging and intracellular transportation networks resembling those in social insects and multi-agent systems.
- These networks are analogous to human-engineered transportation systems.
Purpose of the Study:
- To investigate the structural similarities and differences between Physarum polycephalum's transport networks and the motorway systems of Spain and Portugal.
- To analyze how effectively the slime mold's network approximates man-made transport infrastructure.
Main Methods:
- Agar plates were shaped into the Iberian Peninsula.
- Oat flakes (nutrient sources) were placed at simulated major urban centers.
- The resulting Physarum polycephalum foraging network was analyzed and compared to principal motorways.
- Both man-made and plasmodium networks were studied within the framework of planar proximity graphs.
Main Results:
- The study found notable similarities between the slime mold's network and existing motorway structures.
- Differences were identified in network topology and efficiency metrics.
- Planar proximity graph analysis provided a quantitative framework for comparison.
Conclusions:
- Physarum polycephalum's network exhibits characteristics that parallel man-made transport systems, demonstrating its efficiency in spatial problem-solving.
- The research offers insights into bio-inspired network design and the fundamental principles governing transport infrastructure.
- This study highlights the potential of using biological systems for understanding and optimizing complex networks.
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