Electrical frequency discrimination by fungi Pleurotus ostreatus

IF 1.2 Q3 Computer Science

Bio-Algorithms and Med-Systems Pub Date : 2022-10-04 DOI:10.48550/arXiv.2210.01775

Dawid Przyczyna, K. Szaciłowski, A. Chiolerio, A. Adamatzky

引用次数: 0

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.

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平菇的电频率识别

我们用低频正弦电信号刺激牡蛎真菌平菇的菌丝网络。我们证明，真菌网络可以区分频率在模糊或阈值为基础的方式。提供了有关菌丝体网络混合频率的细节。研究结果为真菌电子学开辟了新领域，为设计有生命的、完全可回收的电子设备铺平了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

3.80

自引率

0.00%

发文量

期刊介绍： The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.