Paper Info
Title
An Insect Brain Computational Model Inspired By Drosophila Melanogaster: Simulation Results
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.
Year
DOI
Venue
2010
10.1109/IJCNN.2010.5596513
2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010
Keywords
Field
DocType
neural nets,mobile robots,biology,computer model,computational modeling,genetics,robots
Iso standards,Computer science,Insect,Artificial intelligence,Drosophila melanogaster,Robot,Artificial neural network,Machine learning,Mobile robot
Conference
ISSN
Citations 
PageRank 
2161-4393
3
0.47
References 
Authors
6
3
Name
Order
Citations
PageRank
Paolo Arena126147.43
Luca Patané210417.31
Pietro Savio Termini381.60