On electrical correlates of Physarum polycephalum spatial activity: Can we see physarum machine in the dark?

Adamatzky, A. and Jones, J. (2011) On electrical correlates of Physarum polycephalum spatial activity: Can we see physarum machine in the dark? Biophysical Reviews and Letters, 6 (1). pp. 29-57. ISSN 1793-0480 Available from: http://eprints.uwe.ac.uk/26426

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Publisher's URL: http://dx.doi.org/10.1142/S1793048011001257

Abstract/Description

Plasmodium of Physarum polycephalum is a single cell visible by unaided eye, which spans sources of nutrients with its protoplasmic network. In a very simple experimental setup we recorded electric potential of the propagating plasmodium. We discovered a complex interplay of short range oscillatory behavior combined with long range, low frequency oscillations which serve to communicate information between different parts of the plasmodium. The plasmodium's response to changing environmental conditions forms basis patterns of electric activity, which are unique indicators of the following events: plasmodium occupies a site, plasmodium functions normally, plasmodium becomes "agitated" due to drying substrate, plasmodium departs a site, and plasmodium forms sclerotium. Using a collective particle approximation of Physarum polycephalum we found matching correlates of electrical potential in computational simulations by measuring local population flux at the node positions, generating trains of high and low frequency oscillatory behavior. Motifs present in these measurements matched the response "grammar" of the plasmodium when encountering new nodes, simulated consumption of nutrients, exposure to simulated hazardous illumination and sclerotium formation. The distributed computation of the particle collective was able to calculate beneficial network structures and sclerotium position by shifting the active growth zone of the simulated plasmodium. The results show future promise for the non-invasive study of the complex dynamical behavior within — and health status of — living systems.

Item Type:Article
Uncontrolled Keywords:Physarum polycephalum, plasmodium, electric potential, behavior
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:26426
Deposited By: Dr J. Jones
Deposited On:25 Aug 2015 10:06
Last Modified:19 Nov 2016 08:51

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