• DocumentCode
    2778334
  • Title

    Stimulus dependent habituation in a bottom - up brain inspired model of learning and memory

  • Author

    Ramanathan, Kiruthika ; Battacharya, Madhurima ; Vadakkepat, Prahlad

  • Author_Institution
    Data Storage Inst., Agency for Sci., Technol. & Res, Singapore, Singapore
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper explores how stimulus-dependent habituation can be integrated to modulate a cognitively inspired bottom up learning model of semantic representation. We first describe the equations governing habituation and associative habituation and describe how to integrate it to a bottom up hierarchical habituation model. Habituation is used to modulate the weights between the parent and children in the hierarchy. We investigate the behavior of habituation in the hierarchy, the properties of habituation and recovery in the model and show that while habituation has no detrimental effect on clustering, it reduces the number of neurons required for representation and therefore propose it as an important component of cognitively inspired memory systems.
  • Keywords
    cognition; learning (artificial intelligence); neural nets; associative habituation; bottom-up brain inspired model; clustering; cognitively inspired bottom-up learning model; cognitively inspired memory systems; neurons; semantic representation; stimulus dependent habituation; Brain modeling; Computational modeling; Equations; Mathematical model; Neurons; Semantics; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2012 International Joint Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-1488-6
  • Electronic_ISBN
    2161-4393
  • Type

    conf

  • DOI
    10.1109/IJCNN.2012.6252832
  • Filename
    6252832