Electrical frequency discrimination by fungi Pleurotus ostreatus

Dawid Przyczyna; Konrad Szacilowski; Alessandro Chiolerio; Andrew Adamatzky

doi:10.1016/j.biosystems.2022.104797

Electrical frequency discrimination by fungi Pleurotus ostreatus

Biosystems. 2022 Dec:222:104797. doi: 10.1016/j.biosystems.2022.104797. Epub 2022 Nov 9.

Authors

Dawid Przyczyna¹, Konrad Szacilowski¹, Alessandro Chiolerio², Andrew Adamatzky³

Affiliations

¹ Academic Centre for Materials and Nanotechnology, AGH University of Science and Technology, Krakow, Poland.
² Istituto Italiano di Tecnologia, Center for Converging Technologies, Soft Bioinspired Robotics, Via Morego 30, 16165 Genova, Italy; Unconventional Computing Lab, UWE, Bristol, UK.
³ Unconventional Computing Lab, UWE, Bristol, UK; Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece. Electronic address: andrew.adamatzky@uwe.ac.uk.

PMID: 36334806
DOI: 10.1016/j.biosystems.2022.104797

Abstract

We stimulate mycelian networks of oyster fungi Pleurotus ostreatus with low frequency sinusoidal electrical signals. We demonstrate that the fungal networks can discriminate between frequencies in a fuzzy or threshold based manner. Details about the mixing of frequencies by the mycelium networks are provided. The results advance the novel field of fungal electronics and pave ground for the design of living, fully recyclable, electronic devices.

Keywords: Electrical properties; Frequency; Fungi; Living electronics; Unconventional materials.

MeSH terms

Mycelium
Pleurotus*