6533b7cefe1ef96bd1257b85
RESEARCH PRODUCT
A spiking network for body size learning inspired by the fruit fly
Giuseppe Di MauroLuca PatanéRoland StraussPaolo ArenaTammo Krausesubject
Artificial neural networkbusiness.industryComputer scienceComputational modelMobile robotBiologically inspired modelsSpace (commercial competition)Body sizeMachine learningcomputer.software_genreDrosophila melanogasterSimple (abstract algebra)Biologically inspired models; Drosophila melanogaster; Computational modelArtificial intelligenceBiomimeticsbusinessRepresentation (mathematics)computerdescription
The concept of peripersonal space is an interesting research topics for psychologists, neurobiologists and for robotic applications. A living being can learn the representation of its own body to take the correct behavioral decision when interacting with the world. To transfer these important learning mechanisms on bio-robots, simple and efficient solutions can be found in the insect world. In this paper a neural-based model for body-size learning is proposed taking into account the results obtained in experiments with fruit flies. Simulations and experimental results on a roving platform are reported and compared with the biological counterpart.
year | journal | country | edition | language |
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2013-08-01 |