Uutela K, Hämäläinen M, Salmelin R
Low Temperature Laboratory, Helsinki University of Technology, Finland.
IEEE Trans Biomed Eng. 1998 Jun;45(6):716-23. doi: 10.1109/10.678606.
The locations of active brain areas can be estimated from the magnetic field produced by the neural current sources. In many cases, the actual current distribution can be modeled with a set of stationary current dipoles with time-varying amplitudes. This work studies global optimization methods that find the minimum of the least-squares error function of the current dipole estimation problem. Three different global optimization methods were investigated: clustering method, simulated annealing, and genetic algorithms. In simulation studies, the genetic algorithm was the most effective method. The methods were also applied to analysis of actual measurement data.
活跃脑区的位置可根据神经电流源产生的磁场来估计。在许多情况下，实际电流分布可用一组振幅随时间变化的静态电流偶极子来建模。这项工作研究了用于找到电流偶极子估计问题最小二乘误差函数最小值的全局优化方法。研究了三种不同的全局优化方法：聚类方法、模拟退火和遗传算法。在模拟研究中，遗传算法是最有效的方法。这些方法也被应用于实际测量数据的分析。
