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 Charles Bouman Purdue University Winfried Denk Max-Planck-Institute for Medical Research James Gee University of Pennsylvania Takeo Kanade Carnegie Mellon University Rex Kerr JFRC/ HHMI Yann LeCun New York University Fuhui Long JFRC/ HHMI Jitendra Malik University of California, Berkeley Pietro Perona California Institute of Technology Dzung Pham Johns Hopkins University Tomaso Poggio Massachusetts Institute of Technology Jens Rittscher GE, Research

  Badri Roysam Rennselaer Polytechnic Institute Dinggang Shen University of Pennsylvania Jianbo Shi University of Pennsylvania Tolga Tasdizen University of Utah Demetri Terzopoulos University of California, Los Angeles Pavel Tomancak Max Planck Institute of Molecular Cell Biology and Genetics Ashok Veeraraghavan University of Maryland Rene Vidal Johns Hopkins Unversity Susan Wearne Mount Sinai School of Medicine Ross Whitaker University of Utah Stephen Wong The Methodist Hospital Research Institute Christophe Zimmer Institut Pasteur

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