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NEURONAL GROWTH VIA HYBRID SYSTEM OF SELF-GROWING AND DIFFUSION BASED GRAMMAR RULES: I

机译:通过基于自我扩散算法的混合系统的神经生长:I

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摘要

The formation of neuronal networks requires axonal growth towards target neurons. A simple set of grammar rules is introduced to describe axonal growth towards target cells situated both at short and long distances from the growing neuron. Growth for short distances is described by growth following the highest gradient of a chemical compound (which is spread by diffusion from the targets). This approach fails to describe long-distance growth, which is addressed by adopting a graph grammar theory for growing trees. With these rules a flexible tool to draw network of neurons by computer can be developed.
机译:神经网络的形成需要轴突向靶神经元的生长。引入了一套简单的语法规则来描述轴突向与生长神经元短距离和长距离都位于的目标细胞的生长。短距离的生长通过化合物最高梯度(通过从靶标扩散而扩散)的生长来描述。这种方法无法描述长距离生长,这可以通过采用图文法理论来生长树木来解决。利用这些规则,可以开发出一种灵活的工具来通过计算机绘制神经元网络。

著录项

  • 来源
    《Bulletin of Mathematical Biology》 |1995年第2期|p.205-227|共23页
  • 作者

    A. KALAY; H. PARNAS; E. SHAMIR;

  • 作者单位

    Departments of Computer-Science and Neurobiology, Hebrew University, Givat-Ram, Jerusalem, 91904 Israel;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 普通生物学;
  • 关键词

  • 入库时间 2022-08-18 00:19:59

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