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Volume Signalling in Real and Robot Nervous Systems
journal contribution
posted on 2023-06-08, 08:40 authored by Phil HusbandsPhil Husbands, Andy PhilippidesAndy Philippides, Tom Smith, Michael O'SheaThis paper presents recent work in computational modelling of diffusing gaseous neuromodulators in biological nervous systems. A variety of interesting and significant properties of such four dimensional neural signalling systems are demonstrated. It is shown that the morphology of the neuromodulator source plays a highly significant role in the diffusion patterns observed. The paper goes on to describe work in adaptive autonomous systems directly inspired by this: an exploration of the use of virtual diffusing modulators in robot nervous systems built from non-standard artificial neural networks. These virtual chemicals act over space and time modulating a variety of node and connection properties in the networks. A wide variety of rich dynamics are possible in such systems; in the work described here, evolutionary robotics techniques have been used to harness the dynamics to produce autonomous behaviour in mobile robots. Detailed comparative analyses of evolutionary searches, and search spaces, for robot controllers with and without the virtual gases are introduced. The virtual diffusing modulators are found to provide significant advantages.
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Publication status
- Published
Journal
Theory in BiosciencesISSN
1431-7613Publisher
Springer VerlagExternal DOI
Issue
3-4Volume
120Page range
253-269Pages
17.0Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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