Work

Emulation of Mycelium’s Electrical Activity with Reconfigurable Memristive Spiking Grid

Year: 2025

Type: conference-paper

Abstract: Mycelium, the vegetative structure of fungi, exhibits complex electrical signaling patterns when stimulated that resemble neural-like activity, which can be leveraged for bio-inspired computing and sensing applications. To replicate this activity, a 100x100 grid-based circuit has been designed capable of spiking behavior and adaptable configuration thanks to memristive technology aligned with fabricated devices, mimicking the dynamics seen in mycelial networks. Simulations have been carried out to demonstrate that the memristive grid successfully replicates key aspects of mycelium’s electrical activity recorded from experimental setups, including response to environmental stimuli, spiking signal propagation, and eradication.

Source: IEEE International Symposium on Circuits and Systems proceedings

DOI: 10.1109/iscas56072.2025.11043301

Authors: Ioannis K. Chatzipaschalis, Ioannis Tompris, Georgios Kleitsiotis, Theodoros Panagiotis Chatzinikolaou, Iosif-Angelos Fyrigos, Michail-Antisthenis Tsompanas, Andrew Adamatzky, Phil Ayres, Antonio Rubio, Georgios Ch. Sirakoulis

Institutions: Democritus University of Thrace, University of the West of England, Royal Danish Academy – Architecture, Design, Conservation, Universitat Politècnica de Catalunya

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: PATH

OpenAlex ID: W4411725900

FWCI: 6.901

Cites: 34

Cited by: 3

Related to: 10