• DocumentCode
    2103577
  • Title

    Towards a large-scale biologically realistic model of the hippocampus

  • Author

    Hendrickson, P.J. ; Yu, G.J. ; Robinson, Brian S. ; Dong Song ; Berger, Theodore W.

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    4595
  • Lastpage
    4598
  • Abstract
    Real neurobiological systems in the mammalian brain have a complicated and detailed structure, being composed of 1) large numbers of neurons with intricate, branching morphologies - complex morphology brings with it complex passive membrane properties; 2) active membrane properties - nonlinear sodium, potassium, calcium, etc. conductances; 3) non-uniform distributions throughout the dendritic and somal membrane surface of these non-linear conductances; 4) non-uniform and topographic connectivity between pre- and post-synaptic neurons; and 5) activity-dependent changes in synaptic function. One of the essential, and as yet unanswered questions in neuroscience is the role of these fundamental structural and functional features in determining “neural processing” properties of a given brain system. To help answer that question, we´re creating a large-scale biologically realistic model of the intrinsic pathway of the hippocampus, which consists of the projection from layer II entorhinal cortex (EC) to dentate gyrus (DG), EC to CA3, DG to CA3, and CA3 to CA1. We describe the computational hardware and software tools the model runs on, and demonstrate its viability as a modeling platform with an EC-to-DG model.
  • Keywords
    brain models; neurophysiology; EC-to-DG model; branching morphology; dendritic membrane surface; hippocampus; large scale biologically realistic model; mammalian brain; postsynaptic neurons; presynaptic neurons; real neurobiological systems; somal membrane surface; synaptic function; Biological system modeling; Biomembranes; Computational modeling; Hippocampus; Morphology; Neurons; Action Potentials; Animals; Computer Simulation; Hippocampus; Humans; Models, Anatomic; Models, Neurological; Nerve Net; Neural Pathways; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346990
  • Filename
    6346990