School of Psychology and Clinical Language Sciences, University of Reading, Whiteknights, P.O. Box 217, Reading, RG6 6AH, UK,
Cogn Neurodyn. 2008 Jun;2(2):79-88. doi: 10.1007/s11571-008-9042-4. Epub 2008 May 31.
We construct a mapping from complex recursive linguistic data structures to spherical wave functions using Smolensky's filler/role bindings and tensor product representations. Syntactic language processing is then described by the transient evolution of these spherical patterns whose amplitudes are governed by nonlinear order parameter equations. Implications of the model in terms of brain wave dynamics are indicated.
我们使用斯莫伦斯基的填充/角色绑定和张量积表示,将复杂的递归语言数据结构映射到球型波函数。然后,通过这些球型模式的瞬态演化来描述句法语言处理,其幅度由非线性序参量方程控制。该模型在脑波动力学方面的含义也有所说明。