• DocumentCode
    1468486
  • Title

    A Neuron Membrane Mesh Representation for Visualization of Electrophysiological Simulations

  • Author

    Lasserre, Sébastien ; Hernando, Juan ; Hill, Sean ; Schuermann, F. ; de Miguel Anasagasti, Pedro ; Jaoudé, Georges Abou ; Markram, Henry

  • Author_Institution
    Blue Brain Project, EPFL, Lausanne, Switzerland
  • Volume
    18
  • Issue
    2
  • fYear
    2012
  • Firstpage
    214
  • Lastpage
    227
  • Abstract
    We present a process to automatically generate three-dimensional mesh representations of the complex, arborized cell membrane surface of cortical neurons (the principal information processing cells of the brain) from nonuniform morphological measurements. Starting from manually sampled morphological points (3D points and diameters) from neurons in a brain slice preparation, we construct a polygonal mesh representation that realistically represents the continuous membrane surface, closely matching the original experimental data. A mapping between the original morphological points and the newly generated mesh enables simulations of electrophysiolgical activity to be visualized on this new membrane representation. We compare the new mesh representation with the state of the art and present a series of use cases and applications of this technique to visualize simulations of single neurons and networks of multiple neurons.
  • Keywords
    bioelectric phenomena; biology computing; brain; data visualisation; digital simulation; mesh generation; complex arborized cell membrane surface; cortical neurons; electrophysiological simulation visualization; morphological points; neuron membrane mesh representation; polygonal mesh representation; three-dimensional mesh representation generation; Biomembranes; Face; Morphology; Neurons; Shape; Surface morphology; Three dimensional displays; Visualization techniques and methodologies; and object representation; curve; data mapping; neuronal network visualization.; solid; surface; Algorithms; Animals; Brain; Computer Simulation; Electrophysiological Phenomena; Humans; Image Processing, Computer-Assisted; Models, Neurological; Nerve Net; Neuroimaging; Neurons; Reproducibility of Results;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2011.55
  • Filename
    5728807