Mycelium-based ELM Emulation Utilizing Memristive Oscillating Cellular Automata

Engineered Living Materials (ELMs) represent a novel class of materials that possess intrinsic properties and capabilities inspired by living organisms. Among ELMs, fungalmycelium stands out due to its low-cost manufacturing process, ubiquity in nature, and significant environmental benefits owing to its biodegradability. Modeling mycelium’s complex behaviors challenges scientists due to its intricate natural phenomena, leading to the adoption of digital twins for accurate simulationsand deeper insights. Memristors, with their unique statetransition capabilities and non-volatility, emerge as promising for implementing a low-power, efficient digital twin of mycelium, demonstrating versatility aross various applications beyond conventional hardware limits. This paper explores the use of memristive nanoelectronic circuits to simulate the evolution of biological mycelium hyphae, introducing a novel computational approach, Memristive Oscillating Cellular Automaton (MOCA), to model the dynamic behavior of mycelium. The MOCA design mirrors the activator and suppressor processes observed in reaction-diffusion systems, thus simulating mycelium tip growth and branching patterns. The simulation results demonstrate the successful propagation of oscillating signals across a MOCA grid, reflecting the biological pathwayswithin mycelium.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-22
DOI
https://doi.org/10.5281/zenodo.15655925
Primary Topic
Plant and Biological Electrophysiology Studies
Type
article
Field-Weighted Citation Impact
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article

Mycelium-based ELM Emulation Utilizing Memristive Oscillating Cellular Automata

Zenodo (CERN European Organization for Nuclear Research)
Plant and Biological Electrophysiology Studies
article

Mycelium-based ELM Emulation Utilizing Memristive Oscillating Cellular Automata

article en

Abstract

Engineered Living Materials (ELMs) represent a novel class of materials that possess intrinsic properties and capabilities inspired by living organisms. Among ELMs, fungalmycelium stands out due to its low-cost manufacturing process, ubiquity in nature, and significant environmental benefits owing to its biodegradability. Modeling mycelium’s complex behaviors challenges scientists due to its intricate natural phenomena, leading to the adoption of digital twins for accurate simulationsand deeper insights. Memristors, with their unique statetransition capabilities and non-volatility, emerge as promising for implementing a low-power, efficient digital twin of mycelium, demonstrating versatility aross various applications beyond conventional hardware limits. This paper explores the use of memristive nanoelectronic circuits to simulate the evolution of biological mycelium hyphae, introducing a novel computational approach, Memristive Oscillating Cellular Automaton (MOCA), to model the dynamic behavior of mycelium. The MOCA design mirrors the activator and suppressor processes observed in reaction-diffusion systems, thus simulating mycelium tip growth and branching patterns. The simulation results demonstrate the successful propagation of oscillating signals across a MOCA grid, reflecting the biological pathwayswithin mycelium.

Zenodo (CERN European Organization for Nuclear Research)
Democritus University of Thrace (GR), University of the West of England (GB), Universitat Politècnica de Catalunya (ES)
Life in Land, Responsible consumption and production
Openalex Percentile: Top 67%
Plant and Biological Electrophysiology Studies
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Mycelium-based ELM Emulation Utilizing Memristive Oscillating Cellular Automata · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS