Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
成人声调学习的贝叶斯半参数纵向漂移扩散混合模型
Understanding how adult humans learn nonnative speech categories such as tone information has shed novel insights into the mechanisms underlying experience-dependent brain plasticity. Scientists have traditionally examined these questions using longitudinal learning experiments under a multi-category decision making paradigm. Drift-diffusion processes are popular in such contexts for their ability to mimic underlying neural mechanisms. Motivated by these problems, we develop…