When placed at the perimeter of a maze with food in the center, the plasmodial slime mold Physarum polycephalum explores the maze, retracts branches from dead-end corridors, and then grows exclusively along the shortest path possible to the food. How does Physarum do this? One theory is that it leaves behind slime deposits—an externalized 'memory' that 'reminds' it not to retry dead ends. Researchers have proposed that slime molds could be used to help to plan the paths of future roadways and railways. Justify this statement.

Verified step by step guidance

1. Understand the behavior of Physarum polycephalum: This slime mold exhibits a unique ability to find the shortest path through a maze to reach food. It achieves this by extending pseudopodia (temporary arm-like projections) to explore its environment, retracting them from less optimal paths, and consolidating its body along the most direct route to the food source.
2. Recognize the role of slime deposits: As Physarum moves, it leaves behind a trail of slime. This slime acts as an external memory system, marking where the mold has already explored. This prevents the organism from wasting resources by revisiting the same paths, especially those that lead to dead ends, thereby optimizing its movements.
3. Draw parallels to transportation planning: The ability of Physarum to efficiently navigate and remember its environment can be analogous to the challenges faced in planning human transportation networks. The mold's strategy minimizes distance and resource use, which are key considerations in designing roads and railways.
4. Consider the practical application: By observing and analyzing the growth patterns of Physarum in controlled experiments, researchers can potentially gain insights into more efficient, cost-effective ways to layout and connect transportation routes. The mold's natural ability to find the shortest path could inspire algorithms or models for optimizing human-made networks.
5. Evaluate the feasibility and benefits: While the idea of using a biological model to inform engineering projects might seem unconventional, the potential for sustainable and innovative solutions in infrastructure planning could be substantial. This approach could lead to more environmentally friendly and economically viable transportation systems.