Wright J J, Kydd R R, Lees G J
Biol Cybern. 1985;53(1):11-7. doi: 10.1007/BF00355686.
Preceding papers concern a linear theory of electrocortical waves and their regulation by brain-stem neurones, in conditions of steady-state. The present paper reconsiders the theory, and generalizes beyond the effects of the fibre systems so far studied. Relaxation and unification of the assumptions upon which the initial model was based is undertaken. It is shown that the generalised model may render state changes within the brain accessible to systematic description, using the EEG as dependent variable. It is proposed that a multitude of stable states are possible within the brain, each characterised by a set of damping parameters for separate linear resonant modes. Within each stable state, the set of sums of resonant modes characterises a sub-space of the total state-space. Transition between stable regions can occur with either perturbation by external signals, or by internal controls. Tentative consideration is given to the role of plastic changes leading to adaptive learning as an attribute of a system of this type.
之前的论文涉及稳态条件下电皮质波的线性理论及其受脑干神经元的调节。本文重新审视了该理论，并将其推广到迄今所研究的纤维系统的影响之外。对初始模型所基于的假设进行了放宽和统一。结果表明，使用脑电图作为因变量，广义模型可以使大脑内的状态变化便于进行系统描述。有人提出，大脑内可能存在多种稳定状态，每种状态都由一组针对单独线性共振模式的阻尼参数来表征。在每个稳定状态内，共振模式总和的集合表征了整个状态空间的一个子空间。稳定区域之间的转变既可以由外部信号的扰动引起，也可以由内部控制引起。初步考虑了导致适应性学习的塑性变化作为这种类型系统的一个属性所起的作用。
