What Can Computer Vision Do for Neuroscience and Vice Versa?
September 14 - 17, 2008

Participants at this conference will consider current challenges and recent progress in computer vision and image analysis techniques that may advance neuroscience studies. We will explore such topics as deriving meaningful 3D reconstructions of cellular architecture and wiring diagrams of the brain, and how neuroscience can provide insights into the design of more powerful computer vision and image analysis algorithms, image systems, and image-mining mechanisms.

• ORGANIZERS:

  Dmitri Chklovskii, Janelia Farm Research Campus/ HHMI
  
  Gene Myers, Janelia Farm Research Campus/ HHMI
  
  Hanchuan Peng, Janelia Farm Research Campus/ HHMI

• INVITED PARTICIPANTS:

  Giorgio Ascioli George Mason Unversity		Jens Rittscher GE, Research
  Charles Bouman Purdue University		Dinggang Shen University of Pennsylvania
  Winfried Denk Max-Planck-Institute for Medical Research		Jianbo Shi University of Pennsylvania
  James Gee University of Pennsylvania		Tolga Tasdizen University of Utah
  Takeo Kanade Carnegie Mellon University		Demetri Terzopoulos University of California, Los Angeles
  Rex Kerr JFRC/ HHMI		Pavel Tomancak Max Planck Institute of Molecular Cell Biology and Genetics
  Yann LeCun New York University		Ashok Veeraraghavan University of Maryland
  Fuhui Long JFRC/ HHMI		Rene Vidal Johns Hopkins Unversity
  Jitendra Malik University of California, Berkeley		Susan Wearne Mount Sinai School of Medicine
  Pietro Perona California Institute of Technology		Ross Whitaker University of Utah
  Dzung Pham Johns Hopkins University		Stephen Wong The Methodist Hospital Research Institute
  Tomaso Poggio Massachusetts Institute of Technology		Christophe Zimmer Institut Pasteur

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