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http://hdl.handle.net/10609/144547
Title: | Electrical activity of fungi: Spikes detection and complexity analysis |
Author: | Dehshibi, Mohammad Mahdi Adamatzky, Andrew |
Others: | Universitat Oberta de Catalunya. Estudis d'Informàtica, Multimèdia i Telecomunicació University of the West of England |
Citation: | Dehshibi, M.M. & Adamatzky, A. (2021). Electrical activity of fungi: Spikes detection and complexity analysis. BioSystems, 203, 1-18. doi: 10.1016/j.biosystems.2021.104373 |
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. |
Keywords: | electrical activity spikes complexity |
DOI: | http://doi.org/10.1016/j.biosystems.2021.104373 |
Document type: | info:eu-repo/semantics/article |
Version: | info:eu-repo/semantics/publishedVersion |
Issue Date: | 9-Feb-2021 |
Publication license: | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Appears in Collections: | Articles cientÍfics Articles |
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1-s2.0-S0303264721000307-main.pdf | 12,77 MB | Adobe PDF | View/Open |
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