Modeling cortical maps with Topographica Academic Article

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. 2004 Elsevier B.V. All rights reserved.

authors

• Choe, Yoonsuck

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Bednar, J. A., Choe, Y., De Paula, J., Miikkulainen, R., Provost, J., & Tversky, T.

citation count

• 15

complete list of authors

• Bednar, JA||Choe, Y||De Paula, J||Miikkulainen, R||Provost, J||Tversky, T

publication date

• June 2004

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Cortical Modeling
• Development
• Self-organization
• Simulation Tools
• Topographic Maps

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2004.01.177

start page

• 1129

end page

• 1135

volume

• 58

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.neucom.2004.01.177