Mycelium-based ELM emulation utilizing memristive oscillating cellular automata

Chatzinikolaou, Theodoros Panagiotis; Tompris, Ioannis; Chatzipaschalis, Ioannis K.; Fyrigos, Iosif-Angelos; Tsompanas, Michail-Antisthenis; Adamatzky, Andrew; Sirakoulis, Georgios Ch.

Abstract

Engineered Living Materials (ELMs) represent a novel class of materials that possess intrinsic properties and capabilities inspired by living organisms. Among ELMs, fungal mycelium 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 simulations and deeper insights. Memristors, with their unique state-transition capabilities and non-volatility, emerge as promising for implementing a low-power, efficient digital twin of mycelium, demonstrating versatility across 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 Au-tomaton (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 pathways within mycelium.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2024 IEEE 24th International Conference on Nanotechnology (NANO)
• Start Date: Jul 8, 2024
• End Date: Jul 11, 2024
• Acceptance Date: Jun 18, 2024
• Online Publication Date: Aug 22, 2024
• Publication Date: Aug 22, 2024
• Deposit Date: Sep 11, 2024
• Publicly Available Date: Sep 12, 2024
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 551-556
• Series Title: IEEE Conference on Nanotechnology
• Series ISSN: 1944-9380
• Book Title: 2024 IEEE 24th International Conference on Nanotechnology (NANO)
• DOI: https://doi.org/10.1109/nano61778.2024.10628662
• Public URL: https://uwe-repository.worktribe.com/output/12881663