Usher Marius, Davelaar Eddy J, Haarmann Henk J, Goshen-Gottstein Yonatan
School of Psychology, Birkbeck College, University of London, London, United Kingdom.
Psychol Rev. 2008 Oct;115(4):1108-18; discussion 1119-26. doi: 10.1037/a0013725.
P. B. Sederberg, M. W. Howard, and M. J. Kahana have proposed an updated version of the temporal-context model (TCM-A). In doing so, they accepted the challenge of developing a single-store model to account for the dissociations between short- and long-term recency effects that were reviewed by E. J. Davelaar, Y. Goshen-Gottstein, A. Ashkenazi, H. J. Haarmann, and M. Usher (2005). In this commentary, the authors argue that the success of TCM-A in addressing the dissociations is dependent not only on an episodic encoding matrix but--critically--also on its implicit use of a short-term memory store--albeit exponential rather than buffer-like. The authors also highlight some difficulties of TCM-A in accounting for these dissociations, and they argue that TCM-A fails to account for critical data--the presentation-rate effect--that dissociates exponential and buffer-like models.
P. B. 塞德伯格、M. W. 霍华德和M. J. 卡哈纳提出了时间上下文模型的更新版本(TCM-A)。在此过程中,他们接受了开发单一存储模型的挑战,以解释E. J. 达韦拉尔、Y. 戈申 - 戈特斯坦、A. 阿什克纳齐、H. J. 哈曼和M. 厄舍(2005年)所综述的短期和长期近因效应之间的分离现象。在这篇评论中,作者认为TCM-A在解决这些分离现象方面的成功不仅取决于情景编码矩阵,而且——至关重要的是——还取决于它对短期记忆存储的隐式使用,尽管是指数型而非类似缓冲区的。作者还强调了TCM-A在解释这些分离现象时的一些困难,并且他们认为TCM-A无法解释区分指数型和类似缓冲区模型的关键数据——呈现速率效应。