DocumentCode :
671557
Title :
A computational model for motor learning in insects
Author :
Arena, P. ; Caccamo, Sergio ; Patane, Laura ; Strauss, Roland
Author_Institution :
Dipt. di Ing. Elettr., Elettron. e Inf., Univ. degli Studi di Catania, Catania, Italy
fYear :
2013
fDate :
4-9 Aug. 2013
Firstpage :
1
Lastpage :
8
Abstract :
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.
Keywords :
biology computing; neurophysiology; Drosophila melanogaster; biologically inspired models; central complex; computational model; dynamic structure; fruit fly; insects; motor learning; mushroom bodies; neurobiological experiments; Computational modeling; Insects; Joints; Legged locomotion; Neurons; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2013 International Joint Conference on
Conference_Location :
Dallas, TX
ISSN :
2161-4393
Print_ISBN :
978-1-4673-6128-6
Type :
conf
DOI :
10.1109/IJCNN.2013.6706897
Filename :
6706897
Link To Document :
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