6533b831fe1ef96bd1298ed2

RESEARCH PRODUCT

A computational model for motor learning in insects

Roland StraussSergio CaccamoLuca PatanéPaolo Arena

subject

Structure (mathematical logic)Computational modelbiologyComputer sciencebusiness.industryComputational modelBiologically inspired modelsNeurophysiologybiology.organism_classificationDrosophila melanogasterMushroom bodiesBiologically inspired models; Computational model; Drosophila melanogasterArtificial intelligenceDrosophila melanogasterMotor learningbusiness

description

The aim of this paper is to propose a computational model, inspired by Drosophila melanogaster, able to handle problems related to motor learning. The role of the Mushroom Bodies and the Central Complex in solving this problem is analyzed and plausible biologically inspired models are proposed. The designed computational models have been evaluated in simulation using a dynamic structure inspired by the fruit fly. The obtained results open the way to new neurobiological experiments focused to better understand the underlined mechanisms involved, to verify the feasibility of the hypotheses formulated and the significance of the obtained results.

10.1109/ijcnn.2013.6706897http://hdl.handle.net/11570/3149112