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@Article{bednar-neurocomputing04-sw,
  author       = "James A. Bednar and Yoonsuck Choe and Judah {De~Paula}
                  and Risto Miikkulainen and Jefferson Provost and Tal
                  Tversky",
  title        = "Modeling Cortical Maps with {Topographica}",
  journal      = "Neurocomputing",
  year         = 2004,
  volume       = "58-60",
  pages        = "1129--1135",
  abstract ={The biological function of cortical neurons can often be understood
only in the context of large, highly interconnected networks. These
networks typically form two-dimensional topographic maps, such as the
retinotopic maps in the visual system. Computational simulations of
these areas have led to valuable insights about how cortical
topography develops and functions, but further progress is difficult
because appropriate simulation tools are not available. This paper
introduces the freely available Topographica map-level simulator,
currently under development at the University of Texas at
Austin. Topographica is designed to make large-scale, detailed models
practical. The goal is to allow neuroscientists and computational
scientists to understand how topographic maps and their connections
organize and operate. This understanding will be crucial for
integrating experimental observations into a comprehensive theory of
cortical function.
}
}