• DocumentCode
    1684232
  • Title

    Place cells, maps and navigation strategies: processing steps of the cortico-hippocampal system

  • Author

    Banquet, Jean Paul ; Gaussier, Philippe ; Quoy, Mathias ; Revel, Arnaud ; Burnod, Yves

  • Author_Institution
    Neurosci. et Modelisation, Univ. Pierre et Marie Curie, Paris, France
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1433
  • Lastpage
    1438
  • Abstract
    A biologically inspired integrated model of different hippocampal subsystems makes a distinction between place cells (PC) within the entorhinal cortex (EC) (diffuse) or dentate gyrus (segregated), and transition cells (TC) in CA3-CA1 that encode transitions between events. These two types of codes support two kinds of hippocampo-cortical cognitive maps: a context-independent map in the subiculum and EC essentially encodes the spatial layout of the environment thanks to a local dominance of ideothetic movement-related information over allothetic (visual) information, and a task- and temporal context-dependent map based on the TC in CA3-CA1 allows the encoding, in higher-order structures, of maps as graphs resulting from combinations of learned sequences of events. The dominantly spatial and the temporal-task-dependent maps are permanently stored in the parietal cortex and the pre-frontal cortex respectively. On the basis of these two maps, two distinct goal-oriented navigation strategies were designed in experimental robotic paradigms: one based on a (population) vector code of the location-actions pairs to learn and implement to reach the goal, and the other based on linking TC together as conditioning chains that are implemented under the top-down guidance of drives and motivations
  • Keywords
    brain models; learning (artificial intelligence); mobile robots; navigation; path planning; CA3-CA1 hippocampal region; allothetic information; biologically inspired integrated model; conditioning chains; context-independent map; cortico-hippocampal system; diffuse entorhinal cortex; drives; environment spatial layout encoding; event transition encoding; experimental robotic paradigms; goal-oriented navigation strategies; graphs; higher-order structures; hippocampo-cortical cognitive maps; ideothetic movement-related information; learned event sequences; local dominance; location-actions pairs; motivations; parietal cortex; place cells; population vector code; prefrontal cortex; processing steps; segregated dentate gyrus; subiculum; temporal task-dependent map; top-down guidance; transition cells; visual information; Basal ganglia; Biological information theory; Biological system modeling; Brain modeling; Cells (biology); Encoding; Gaussian processes; Hippocampus; Navigation; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1007727
  • Filename
    1007727