Stowell H
Int J Psychophysiol. 1987 Jan;4(4):269-76. doi: 10.1016/0167-8760(87)90038-9.
Hitherto the study of cerebral slow waves has been mainly empirical phenomenology, in spite of 50 years of effort to discover their origins and possible functions. Since 1970 the increasing use of both analog and digital filters, combined with more sensitive averaging techniques, has led to better understanding of some possible functional significance for the electroencephalogram (EEG) and the endogenous slow waves of event-related brain potentials (ERBP). The developing concepts and mathematics of non-linear dynamicsand coupled oscillators, when considered in the light of cerebral circuit geometry and topology, of local neuronal circuitry, and of both observed and experienced biological behavior, now offer hope for future, more complete, understanding of the development of 'conscious and goal-directed' activity from robotic and reflexive stimulus-response paradigms. Immediate practical results of a biophysical approach to brain waves should be: Models of vertebrate brains as distributed systems of non-linearly coupled oscillators; and revision of traditional methodologies for recording and interpreting EEG/ERBP data.
尽管经过50年的努力来探寻脑慢波的起源和可能的功能，但迄今为止，对脑慢波的研究主要还是经验现象学。自1970年以来，模拟和数字滤波器的使用日益增加，再加上更灵敏的平均技术，使得人们对脑电图（EEG）和事件相关脑电位（ERBP）的内源性慢波的一些可能的功能意义有了更好的理解。当从脑回路的几何形状和拓扑结构、局部神经元回路以及观察到的和经历过的生物行为的角度来考虑时，非线性动力学和耦合振荡器不断发展的概念及数学方法，为未来更全面地理解从机器人式和反射性刺激-反应模式发展而来的“有意识和目标导向”活动提供了希望。对脑电波采用生物物理方法的直接实际成果应该是：将脊椎动物大脑建模为非线性耦合振荡器的分布式系统；以及修订记录和解释EEG/ERBP数据的传统方法。
