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Modeling cortical maps with Topographica

机译:使用Topographica建模皮质图

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摘要

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.
机译:皮质神经元的生物学功能通常只能在大型,高度互连的网络中理解。这些网络通常形成二维地形图,例如视觉系统中的视网膜局部图。这些区域的计算模拟已使人们对皮质形貌的发展和功能有了宝贵的见解,但是由于没有合适的模拟工具,因此很难取得进一步的进展。本文介绍了德克萨斯大学奥斯汀分校目前正在开发的免费提供的Topographica地图级模拟器。 Topographica旨在使大型详细模型实用。目的是让神经科学家和计算科学家了解地形图及其联系是如何组织和运行的。这种理解对于将实验观察结果整合到皮层功能的综合理论中至关重要。

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