• DocumentCode
    2773802
  • Title

    The Neurodynamics of the Hippocampal Place Fields

  • Author

    Vitral, Renan Wesley Farinazzo

  • Author_Institution
    Fed. Univ. of Juiz de Fora, Juiz de Fora
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    3086
  • Lastpage
    3093
  • Abstract
    On this study we developed a mathematical model that would be able to simulate the dynamics of the hippocampal complex and, also, sustaining our hypothesis regarding the generation of the called "Place Fields". It has been described that "Place Fields" would be dependent of egocentric and allocentric coordinates and signals. The electrophysiological parameter is the generation, on the hippocampus, of theta and/or theta/gamma frequency. Although some authors argue that exist a dependency of visual cues for spike generation by the called "Place Cells", there is a general agreement that animals need to be attentive and exploring the environment during the formation of Place Fields. So, we seek to build a network that, simulating the morph functional pattern of the hippocampus, would be able to work as one place field of CA3 region (although for what we propose it could be of CA1 or even other region able to work this way), being the attentive behavior considered the second principal parameter. Our results are compatible with experimental data of the dynamics of "place Fields". Together, our hypothesis agrees with this model and, also, sustains the whole functions attributed to hippocampus if we consider "Place Fields" as primarily "Firing Fields".
  • Keywords
    bioelectric phenomena; brain; neural nets; neurophysiology; physiological models; allocentric coordinates; allocentric signals; egocentric coordinates; electrophysiological parameter; gamma frequency; hippocampal place field neurodynamics; hippocampus dynamics; mathematical model; morph functional pattern; spike generation; theta frequency; Animals; Computational modeling; Distributed computing; Frequency; Gaussian distribution; Helium; Hippocampus; Mathematical model; Neurodynamics; Physiology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.247269
  • Filename
    1716518