• DocumentCode
    2716849
  • Title

    Neurodynamic approach to odor processing

  • Author

    Érdi, P. ; Barna, G.

  • Author_Institution
    Central Res. Inst. for Phys., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Firstpage
    653
  • Abstract
    A mathematical model is presented to describe odor information processing in the olfactory bulb. The olfactory system shows a remarkable periodic activity, and the concept of `learning of periodicity´ is suggested to be an important element of odor discrimination. It is suggested that a two-level neurodynamic approach considering both single neuron dynamics and synaptic modifiability seems to be a proper framework to explain rhythmic bulbar activity, transitions from different dynamic regimes, and discrimination and learning phenomena. Odor learning is strongly associated with some characteristics of mitral cell activity oscillations
  • Keywords
    chemioception; neurophysiology; physiological models; learning phenomena; mathematical model; mitral cell activity oscillations; neurophysiology; odor discrimination; odor information processing; olfactory bulb; physiological models; rhythmic bulbar activity; single neuron dynamics; synaptic modifiability; two-level neurodynamic approach; Biological system modeling; Brain modeling; Chaos; Information processing; Mathematical model; Neurodynamics; Olfactory; Physics; Relays; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0164-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.155413
  • Filename
    155413