Literature DB >> 30443330

Towards fungal computer.

Andrew Adamatzky1.   

Abstract

We propose that fungi Basidiomycetes can be used as computing devices: information is represented by spikes of electrical activity, a computation is implemented in a mycelium network and an interface is realized via fruit bodies. In a series of scoping experiments, we demonstrate that electrical activity recorded on fruits might act as a reliable indicator of the fungi's response to thermal and chemical stimulation. A stimulation of a fruit is reflected in changes of electrical activity of other fruits of a cluster, i.e. there is distant information transfer between fungal fruit bodies. In an automaton model of a fungal computer, we show how to implement computation with fungi and demonstrate that a structure of logical functions computed is determined by mycelium geometry.

Keywords:  fungi; natural computation; unconventional computing

Year:  2018        PMID: 30443330      PMCID: PMC6227805          DOI: 10.1098/rsfs.2018.0029

Source DB:  PubMed          Journal:  Interface Focus        ISSN: 2042-8898            Impact factor:   3.906


  47 in total

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5.  Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow.

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Journal:  Int J Neural Syst       Date:  2014-12-04       Impact factor: 5.866

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Journal:  Plant Cell Environ       Date:  2007-03       Impact factor: 7.228

Review 7.  Cultivation of Pleurotus ostreatus and other edible mushrooms.

Authors:  Carmen Sánchez
Journal:  Appl Microbiol Biotechnol       Date:  2009-12-03       Impact factor: 4.813

Review 8.  Environmental sensor networks in ecological research.

Authors:  Philip W Rundel; Eric A Graham; Michael F Allen; Jason C Fisher; Thomas C Harmon
Journal:  New Phytol       Date:  2009       Impact factor: 10.151

9.  Carnivorous mushrooms.

Authors:  R G Thorn; G L Barron
Journal:  Science       Date:  1984-04-06       Impact factor: 47.728

10.  Towards a Physarum learning chip.

Authors:  James G H Whiting; Jeff Jones; Larry Bull; Michael Levin; Andrew Adamatzky
Journal:  Sci Rep       Date:  2016-02-03       Impact factor: 4.379

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1.  Mushroom data creation, curation, and simulation to support classification tasks.

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