• 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