James A. Bednar, Yoonsuck Choe, Judah De Paula, Risto Miikkulainen, Jefferson Provost, and Tal Tversky. Modeling Cortical Maps with Topographica. In Presented at the 2003 Computational Neuroscience Meeting, pp. 1129–1135, 2003.
The biological function of cortical neurons can often be understoodonly in the context of large, highly interconnected networks. Thesenetworks typically form two-dimensional topographic maps, such as theretinotopic maps in the visual system. Computational simulations ofthese areas have led to valuable insights about how corticaltopography develops and functions, but further progress is difficultbecause appropriate simulation tools are not available. This paperintroduces the freely available Topographica map-level simulator,currently under development at the University of Texas atAustin. Topographica is designed to make large-scale, detailed modelspractical. The goal is to allow neuroscientists and computationalscientists to understand how topographic maps and their connectionsorganize and operate. This understanding will be crucial forintegrating experimental observations into a comprehensive theory ofcortical function.
@InProceedings{bednar-cns03-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}",
booktitle = "Presented at the 2003 Computational Neuroscience Meeting",
year = "2003",
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.},
{http://nn.cs.utexas.edu/downloads/papers/bednar.cns03-sw.pdf},
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