What Can Computer Vision Do for Neuroscience and Vice Versa?
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, HHMI/Janelia Research Campus
Gene Myers, HHMI/Janelia Research Campus
Hanchuan Peng, HHMI/Janelia Research Campus
Invited Participants
Charles Bouman, Purdue University
Winfried Denk, Max-Planck-Institute for Medical Research
James Gee, University of Pennsylvania
Yann LeCun, New York University
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 Global 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
Ashok Veeraraghavan, University of Maryland
Ross Whitaker, University of Utah
Stephen Wong, The Methodist Hospital, Weill Cornell Medical College