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真菌的电活动:尖峰检测与复杂性分析。

Electrical activity of fungi: Spikes detection and complexity analysis.

机构信息

Department of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, Barcelona, Spain; Unconventional Computing Laboratory, University of the West England, Bristol, UK.

Unconventional Computing Laboratory, University of the West England, Bristol, UK.

出版信息

Biosystems. 2021 May;203:104373. doi: 10.1016/j.biosystems.2021.104373. Epub 2021 Feb 9.

DOI:10.1016/j.biosystems.2021.104373
PMID:33577948
Abstract

Oyster fungi Pleurotus djamor generate actin potential like spikes of electrical potential. The trains of spikes might manifest propagation of growing mycelium in a substrate, transportation of nutrients and metabolites and communication processes in the mycelium network. The spiking activity of the mycelium networks is highly variable compared to neural activity and therefore can not be analysed by standard tools from neuroscience. We propose original techniques for detecting and classifying the spiking activity of fungi. Using these techniques, we analyse the information-theoretic complexity of the fungal electrical activity. The results can pave ways for future research on sensorial fusion and decision making of fungi.

摘要

蚝蘑 Pleurotus djamor 产生的肌动蛋白电位类似于电潜力尖峰。这些尖峰序列可能表现出基质中菌丝的生长、营养物质和代谢物的运输以及菌丝网络中的通讯过程的传播。与神经活动相比,菌丝网络的尖峰活动具有高度的可变性,因此不能用神经科学的标准工具进行分析。我们提出了用于检测和分类真菌尖峰活动的原始技术。使用这些技术,我们分析了真菌电活动的信息论复杂性。这些结果为未来真菌的感觉融合和决策研究铺平了道路。

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