Call for Papers: Special Issue


Perceptual Organization and Neural Computation

Our understanding of perceptual organization has its roots in the observations and qualitative principles of the Gestalt psychologists. They identified and classified phenomena that reflect how perceptual systems derive representations of the environment based on fragmentary information. Recent advances in both experimental methods and theory provide the means to establish a rigorous, quantitative, and computational understanding of perceptual organization. The goal of the special issue is to highlight new methodological and theoretical developments in visual psychophysics, visual neuroscience and computational vision that could lead to a more rigorous and complete understanding of perceptual organization.

We invite submissions of original research articles that develop and/or test modern computational or mathematical models of perceptual organization. The focus of this issue is on vision, but studies concerning interactions of vision with other sensory modalities are welcome. Contributions from the computer vision community that advance models of perceptual organization in biological systems are expressly welcome. Articles on any topics related to perceptual organization are solicited, including but not limited to:

  • Segmentation and grouping
  • Interpolation and extrapolation of static contours and surfaces
  • Perceptual organization based on motion cues
  • Part-whole relationships
  • Statistical models of perceptual organization
  • Perceptual organization and sensory-motor control
  • The neural bases of perceptual organization (e.g., non-classical receptive field effects)
  • Perceptual organization and learning

Guest Editors:

Sergei Gepshtein Brain Science Institute, RIKEN, Japan sergei@brain.riken.jp
James Elder York University, Canada jelder@yorku.ca

Laurence T. Maloney 

New York University, USA laurence.maloney@nyu.edu

Deadline for submissions:

October 1, 2007

Target publication date:

March, 2008

Journal of Vision is an online, open-access journal that encourages the use of images, color, movies, hyperlinks, and other digital enhancements. To submit a paper to this special issue please follow the Instructions for Authors.




jov