@InCollection{schwartz1994:computational,
  author =       {Schwartz, Eric L.},
  title =        {Computational studies of the spatial architecture of
                  primate visual cortex: Columns, maps, and protomaps},
  booktitle =    {Primary Visual Cortex in Primates},
  publisher =    {Plenum Press},
  year =         1994,
  editor =       {Peters, Alan and Rockland, Kathleen},
  volume =       10,
  series =       {Cerebral Cortex},
  month =        mar,
  datestr =      199403,
  abstract =     {This chapter will present the history and an
                  estimate of current understanding of the spatial
                  architecture of primary visual cortex (V-1, striate
                  cortex, area 17) in primates. Special emphasis will
                  be placed on experimental techniques, mathematical
                  and computational analyses, and the relevance of V-1
                  architecture to current work in machine vision. An
                  attempt has been made to provide a representative
                  coverage of the primary literature,but completeness
                  in this regard is not claimed. Rather, the intention
                  is to provide an overview of the difficulties, both
                  conceptual and experimental, which have
                  characterized this field for the past fifty years,
                  and to provide some insight into the importance of
                  spatial architecture in visual cortex to both
                  biological and machine vision.History will be
                  divided into four periods in which the status of
                  understanding mapping in V-1 will be surveyed:
                  Pre-Classical Prior to physiological demonstration
                  of cortical topography Classical Initial
                  demonstrations of topography, but no analytic
                  characterization Middle First attempts at
                  magnification factor data fitting and introduction
                  of complex log model.},
  ISBN =         {0-306-44605-7},
  OCLC =         10349433,
}