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Biosystems
Article
License: CC BY
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Biosystems
Article . 2010 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2010
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2020
Data sources: DBLP
DBLP
Article . 2018
Data sources: DBLP
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Towards Physarum binary adders

Authors: Jeff Jones; Andrew Adamatzky;

Towards Physarum binary adders

Abstract

Plasmodium of \emph{Physarum polycephalum} is a single cell visible by unaided eye. The plasmodium's foraging behaviour is interpreted in terms of computation. Input data is a configuration of nutrients, result of computation is a network of plasmodium's cytoplasmic tubes spanning sources of nutrients. Tsuda et al (2004) experimentally demonstrated that basic logical gates can be implemented in foraging behaviour of the plasmodium. We simplify the original designs of the gates and show --- in computer models --- that the plasmodium is capable for computation of two-input two-output gate $ \to $ and three-input two-output $ \to < \bar{x}yz, x+y+z>$. We assemble the gates in a binary one-bit adder and demonstrate validity of the design using computer simulation.

Biosystems (2010), in press. Please download final version of the paper from the Publishers's site

Keywords

FOS: Computer and information sciences, Computer Science - Artificial Intelligence, FOS: Physical sciences, Signal Processing, Computer-Assisted, Feeding Behavior, Pattern Formation and Solitons (nlin.PS), Nonlinear Sciences - Pattern Formation and Solitons, Models, Biological, Artificial Intelligence (cs.AI), Physarum polycephalum, Biological Physics (physics.bio-ph), FOS: Biological sciences, Cell Behavior (q-bio.CB), Quantitative Biology - Cell Behavior, Computer Simulation, Physics - Biological Physics, Mathematical Computing, Mathematics

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
Green
hybrid