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Related Experiment Video

Updated: Feb 18, 2026

A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

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A Method for Growing Bio-memristors from Slime Mold.

Eduardo Reck Miranda1, Edward Braund2

  • 1Interdisciplinary Centre for Computer Music Research, Plymouth University; eduardo.miranda@plymouth.ac.uk.

Journal of Visualized Experiments : Jove
|November 21, 2017
PubMed
Summary
This summary is machine-generated.

Researchers harnessed the slime mold Physarum polycephalum to create biological memristors and bio-computing devices. This breakthrough offers a new path for developing adaptive, memory-integrated electronic systems.

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Area of Science:

  • Bioelectronics
  • Computational Biology
  • Materials Science

Background:

  • Memristors, the fourth fundamental passive circuit element, are crucial for novel computing architectures that merge storage and processing.
  • Physarum polycephalum, a unicellular slime mold, exhibits adaptive behaviors and produces pinched hysteresis loops under AC voltage, mimicking memristor characteristics.

Purpose of the Study:

  • To engineer bio-memristors and bio-computing devices using Physarum polycephalum.
  • To develop a standardized method for culturing P. polycephalum as an electronic component.

Main Methods:

  • Developing a specialized receptacle for culturing P. polycephalum.
  • Applying AC voltage to P. polycephalum to observe its current-voltage characteristics.
  • Implementing P. polycephalum as a bio-memristor in electronic circuits.

Main Results:

  • Physarum polycephalum demonstrates pinched hysteresis loops, confirming its memristive properties.
  • The developed method significantly reduces organism growth time.
  • The lifespan of the bio-memristor components is increased, and electrical observations are standardized.

Conclusions:

  • Physarum polycephalum can be effectively utilized as a biological memristor.
  • The novel bio-memristor implementation offers a promising foundation for future bioelectronic systems and computing.
  • This research advances the integration of biological organisms into electronic circuit design.