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On the efficient calculation of van Rossum distances

机译:关于van Rossum距离的有效计算

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摘要

The van Rossum metric measures the distance between two spike trains. Measuring a single van Rossum distance between one pair of spike trains is not a computationally expensive task, however, many applications require a matrix of distances between all the spike trains in a set or the calculation of a multi-neuron distance between two populations of spike trains. Moreover, often these calculations need to be repeated for many different parameter values. An algorithm is presented here to render these calculation less computationally expensive, making the complexity linear in the number of spikes rather than quadratic.
机译:van Rossum度量标准测量两个峰值序列之间的距离。测量一对峰值序列之间的单个van Rossum距离并不是一项计算昂贵的任务,但是,许多应用程序需要一组矩阵中​​所有峰值序列之间的距离矩阵,或者需要计算两个峰值序列之间的多神经元距离火车。而且,通常对于许多不同的参数值需要重复这些计算。此处提出一种算法,以使这些计算的计算量减少,从而使复杂度在尖峰数量上呈线性变化,而不是二次变化。

著录项

  • 来源
    《Network》 |2012年第4期|48-58|共11页
  • 作者

    CONOR HOUGHTON; THOMAS KREUZ;

  • 作者单位

    School of Mathematics, Trinity College Dublin, Ireland Sesto Fiorentino, Italy,Department of Computer Science, University of Bristol Sesto Fiorentino, Italy;

    Institute for complex systems - CNR,Sesto Fiorentino, Italy;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    spiking neurons; information theory; auditory system;

    机译:尖刺的神经元;信息论听觉系统;
  • 入库时间 2022-08-18 01:49:12

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