An insect brain computational model inspired by Drosophila melanogaster: Simulation results
Paolo Arena, Luca Patané, Pietro Savio Termini
- 发表年份
- 2010
- 引用次数
- 15
摘要
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.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991