Fractal analysis of spinal dorsal horn neuron discharges by means of sequential fractal dimension D
Fractal analysis of spinal dorsal horn neuron discharges by means of sequential fractal dimension D
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DOI：
10.1016/0010-4825(95)00043-7
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发表时间：
1996-01-01
影响因子：
7.7
通讯作者：
Vanegas, H
中科院分区：
文献类型：
--
作者：
EblenZajjur, A;Salas, R;Vanegas, H
本研究描述了一种新的方法，用于转换一个典型的点过程，如一列神经元动作电位（尖峰），到一个平面曲线，然后通过一个快速算法处理，计算和显示的分形维数D值的每个序列的块具有相等的和预选数量的interspike间隔，因此，术语序列分形维数D（SFD）。这种方法是快速的，不需要特殊的计算设备，并提供了一个连续的，高时间分辨率的显示神经元放电的复杂性沿着自发活动或事件相关的变化的过程。该方法以独立于其放电速率的方式深入了解神经元行为的短期变化。脊髓背角神经元放电序列的SFD分析表明，神经元对给定刺激的反应可以表示为放电模式复杂性的变化，从而揭示了一种新的感觉编码策略。
The present study describes a new methods for converting a typical point process, such as a train of neuronal action potentials (spikes), into a planar curve which is then processed by means of a fast algorithm to calculate and display the fractal dimension D values of each of a sequence of blocks having an equal and preselectable number of interspike intervals, hence the term sequential fractal dimension D (SFD). This method is fast, does not require special computing facilities, and provides a continuous, high temporal resolution display of the neuronal discharge complexity along the course of spontaneous activity or event relating changes. The method affords insight into short duration changes in neuronal behaviour in a way independent of its discharge rate. SFD analysis of spike trains from spinal dorsal horn neurons suggests that the neuronal response to a given stimulus can be expressed as changes in the discharge pattern complexity, thus revealing a novel sensory coding strategy.