Estimation of coupling strength in regenerated lamprey spinal cords based on a stochastic phase model.
Estimation of coupling strength in regenerated lamprey spinal cords based on a stochastic phase model.
复制标题
基于随机相位模型的再生七鳃鳗脊髓耦合强度的估计。
DOI：
10.1023/a:1008835011799
复制
发表时间：
1998
影响因子：
1.2
通讯作者：
Cohen,AH
中科院分区：
文献类型：
--
作者：
Kiemel,T;Cohen,AH
我们提出了两个耦合相位振荡器的简单随机模型，以及将该模型拟合到实验尖峰序列数据或突发时间序列的方法。我们将该方法应用于来自受损的离体七鳃鳗脊髓的数据。病变部位的剩余束是再生内侧束、再生外侧束、控制内侧束或控制外侧束。我们表明，再生区域的耦合平均明显弱于对照区域。我们将模型相关的耦合强度估计与基于尖峰序列互相关直方图 (CCH) 中偏转大小的协调度量进行比较。使用模拟数据，我们表明我们的估计能够检测耦合强度的变化，而不会改变 CCH 的偏转大小。我们的估计也比 CCH 更能抵抗动态噪声水平的变化和相对振荡器频率的变化。在高水平动态噪声的模拟和一项实验准备中，我们能够检测到显着的耦合强度，尽管 CCH 中没有显着的偏转。
We present a simple stochastic model of two coupled phase oscillators and a method of fitting the model to experimental spike-train data or to sequences of burst times. We apply the method to data from lesioned isolated lamprey spinal cords. The remaining tracts at the lesion site are either regenerated medial tracts, regenerated lateral tracts, control medial tracts, or control lateral tracts. We show that regenerated tracts on average provide significantly weaker coupling than control tracts. We compare our model-dependent estimate of coupling strength to a measure of coordination based on the size of deflections in the spike-train cross-correlation histogram (CCH). Using simulated data, we show that our estimates are able to detect changes in coupling strength that do not change the size of deflections in the CCH. Our estimates are also more resistant to changes in the level of dynamic noise and to changes in relative oscillator frequency than is the CCH. In simulations with high levels of dynamic noise and in one experimental preparation, we are able detect significant coupling strength although there are no significant deflections in the CCH.