• DocumentCode
    680204
  • Title

    Connectivity and path analysis for neuron network in the Drosophila brain

  • Author

    Ching-Yao Lin ; Kuen-Long Tsai ; Chang-Huain Hsieh ; Hsiu-Ming Chang ; Chiang, Ann-Shyn

  • Author_Institution
    Nat. Center for High-performance Comput., Hsinchu, Taiwan
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    490
  • Lastpage
    494
  • Abstract
    The advances in microscopic imaging technology have created great amount of unprecedentedly clear images of neurons. How to extract useful information from this massive data has created another challenge for neuroscientists. The connectivity relationships among these neurons provide critical clues for understanding how the information is transmitted in the brain. In this paper, we analyze the neurons in the Drosophila brain, find the possible connecting path, and furthermore, perform cluster analysis from the connectivity information of thousands of tangled neurons.
  • Keywords
    biological techniques; neural nets; neurophysiology; pattern clustering; zoology; Drosophila brain; cluster analysis; connecting path; connectivity relationships; microscopic imaging technology; neuron images; neuron network; path analysis; tangled neurons; Artificial neural networks; Clustering algorithms; Data visualization; Image databases; Neurons; Three-dimensional displays; 3D Image Database; connectivity analysis; neural image visualization; neuroscience; path search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/BIBM.2013.6732543
  • Filename
    6732543