Pool K D, Aronofsky J S, Finitzo T, Barr R S
Neuroscience Research Center, Dallas, Texas 75220.
Brain Topogr. 1989 Summer;1(4):247-55. doi: 10.1007/BF01129602.
Although there has been progress in EEG and evoked potential analysis, the identification of underlying neural activity has eluded researchers despite its importance. This paper introduces the application of mathematical programming techniques to the "inverse" problem of three-dimensional localization of brain activity from scalp potentials. Preliminary computer experience with these optimization methods reported herein, yields encouraging results on simulated data and points new directions for research.
尽管脑电图(EEG)和诱发电位分析已经取得了进展,但尽管其很重要,研究人员仍未能确定潜在的神经活动。本文介绍了数学编程技术在从头皮电位进行脑活动三维定位的“逆”问题中的应用。本文所报告的这些优化方法的初步计算机实验,在模拟数据上产生了令人鼓舞的结果,并为研究指明了新的方向。