6533b7cefe1ef96bd1257b85

RESEARCH PRODUCT

A spiking network for body size learning inspired by the fruit fly

Giuseppe Di MauroLuca PatanéRoland StraussPaolo ArenaTammo Krause

subject

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)computer

description

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.

http://hdl.handle.net/20.500.11769/96089