Single-trial estimation of neuronal firing rates: From single-neuron spike trains to population activity
Single-trial estimation of neuronal firing rates: From single-neuron spike trains to population activity
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DOI：
10.1016/s0165-0270(99)00127-2
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发表时间：
1999-12-15
影响因子：
3
通讯作者：
Rotter, S
中科院分区：
文献类型：
--
作者：
Nawrot, M;Aertsen, A;Rotter, S
我们提出了一种方法来估计神经元放电率从单次试验的尖峰列车。该方法，基于卷积的尖峰列车与一个固定的核函数，校准通过模拟尖峰列车的代表性选择现实的动态速率函数。我们推导出规则的核方法的优化使用和性能，特别是相对于一个有效的选择的形状和宽度的核函数。我们的技术的应用程序，从多个单单位尖峰列车使用动态人口矢量的手臂运动轨迹的在线，单次试验重建说明了可能使用的方法。(C)1999 Elsevier Science B.V.保留所有权利。
We present a method to estimate the neuronal firing rate from single-trial spike trains. The method, based on convolution of the spike train with a fixed kernel function, is calibrated by means of simulated spike trains for a representative selection of realistic dynamic rate functions. We derive rules for the optimized use and performance of the kernel method, specifically with respect to an effective choice of the shape and width of the kernel functions. An application of our technique to the on-line, single-trial reconstruction of arm movement trajectories from multiple single-unit spike trains using dynamic population vectors illustrates a possible use of the proposed method. (C) 1999 Elsevier Science B.V. All rights reserved.