• DocumentCode
    3324260
  • Title

    Neuro-based olfactory model for estimation of sensory characteristic of mice

  • Author

    Soh, Zu ; Tusji, Toshio ; Takiguchi, Noboru ; Tsuji, Toshio

  • Author_Institution
    Grad. Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima
  • fYear
    2009
  • fDate
    22-25 Feb. 2009
  • Firstpage
    431
  • Lastpage
    436
  • Abstract
    Recently, the demand for odor processing apparatuses is increasing in the fragrance and food industries. In this paper, we propose a neural network model of the olfactory system as basis for biomimetic e-nose. The model has two distinctive features. First, it converts the properties of odorant molecule to the neural activity pattern of living mice. Second, the olfactory ldquoAttentionrdquo mechanism is introduced. The simulation results show that the model can predict the odor coding manner on the glomeruli by appropriately adjusting the parameters. Further, the tendency in accuracy rate of odor discrimination is consistent with that of living mice.
  • Keywords
    biomimetics; chemioception; electronic noses; food processing industry; neural nets; biomimetic e-nose; food industry; living mice; neural activity pattern; neural network model; neuro-based olfactory model; odor processing apparatus; sensory characteristic; Biomimetics; Data engineering; Food industry; Humans; Mice; Neurons; Olfactory; Pattern recognition; Predictive models; Service robots; Attention; Glomeruli activity pattern; Neural Network Model; Olfactory System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-2678-2
  • Electronic_ISBN
    978-1-4244-2679-9
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.4913042
  • Filename
    4913042