Holden John G, Rajaraman Srinivasan
Department of Psychology, CAP Center for Cognition, Action, and Perception, University of Cincinnati Cincinnati, OH, USA.
Front Psychol. 2012 Jul 6;3:209. doi: 10.3389/fpsyg.2012.00209. eCollection 2012.
Pronunciation time probability density and hazard functions from large speeded word naming data sets were assessed for empirical patterns consistent with multiplicative and reciprocal feedback dynamics - interaction dominant dynamics. Lognormal and inverse power law distributions are associated with multiplicative and interdependent dynamics in many natural systems. Mixtures of lognormal and inverse power law distributions offered better descriptions of the participant's distributions than the ex-Gaussian or ex-Wald - alternatives corresponding to additive, superposed, component processes. The evidence for interaction dominant dynamics suggests fundamental links between the observed coordinative synergies that support speech production and the shapes of pronunciation time distributions.
从大量快速单词命名数据集中评估发音时间概率密度和风险函数,以寻找与乘法和倒数反馈动力学——交互主导动力学一致的经验模式。对数正态分布和逆幂律分布在许多自然系统中与乘法和相互依赖动力学相关。与对应于加法、叠加、组成过程的前高斯或前 Wald 分布相比,对数正态分布和逆幂律分布的混合能更好地描述参与者的分布。交互主导动力学的证据表明,支持言语产生的观察到的协调协同作用与发音时间分布的形状之间存在根本联系。