Since many years insects have been considered as a source of inspiration for robotic architectures. From this point of view the fly Drosophila melanogaster is more than likely a protagonist, because of the genetic techniques that allow neurobiologists to make deep studies and hypotheses about the brain of this fly. In this work a computational model of the Drosophila has been tested and implemented on a robot simulator. Moreover, the normal capabilities of the fly have been extended in order to have an useful robot-oriented model. Results about a possible application in a real-life scenario of the whole model of the Drosophila brain are reported.

An insect brain computational model inspired by Drosophila melanogaster: simulation results

Patane, L;
2010-01-01

Abstract

Since many years insects have been considered as a source of inspiration for robotic architectures. From this point of view the fly Drosophila melanogaster is more than likely a protagonist, because of the genetic techniques that allow neurobiologists to make deep studies and hypotheses about the brain of this fly. In this work a computational model of the Drosophila has been tested and implemented on a robot simulator. Moreover, the normal capabilities of the fly have been extended in order to have an useful robot-oriented model. Results about a possible application in a real-life scenario of the whole model of the Drosophila brain are reported.
2010
978-1-4244-6918-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3150446
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