Zokaei Nahid, Gorgoraptis Nikos, Bahrami Bahador, Bays Paul M, Husain Masud
Institute of Cognitive Neuroscience, University College London, UK.
J Vis. 2011 Dec 1;11(14):10.1167/11.14.2 2. doi: 10.1167/11.14.2.
Recent studies investigating working memory for location, color, and orientation support a dynamic resource model. We examined whether this might also apply to motion, using random dot kinematograms (RDKs) presented sequentially or simultaneously. Mean precision for motion direction declined as sequence length increased, with precision being lower for earlier RDKs. Two alternative models of working memory were compared specifically to distinguish between the contributions of different sources of error that corrupt memory (W. Zhang & S. J. Luck, 2008 vs. P. M. Bays, R. F. G. Catalao, & M. Husain, 2009). The latter provided a significantly better fit for the data, revealing that decrease in memory precision for earlier items is explained by an increase in interference from other items in a sequence rather than random guessing or a temporal decay of information. Misbinding feature attributes is an important source of error in working memory. Precision of memory for motion direction decreased when two RDKs were presented simultaneously as transparent surfaces, compared to sequential RDKs. However, precision was enhanced when one motion surface was prioritized, demonstrating that selective attention can improve recall precision. These results are consistent with a resource model that can be used as a general conceptual framework for understanding working memory across a range of visual features.
最近关于位置、颜色和方向工作记忆的研究支持了一种动态资源模型。我们使用相继或同时呈现的随机点运动图(RDKs)来检验这是否也适用于运动。随着序列长度增加,运动方向的平均精度下降,早期RDKs的精度更低。具体比较了两种工作记忆替代模型,以区分破坏记忆的不同误差来源的作用(W. 张和S. J. 勒克,2008年 与P. M. 贝斯、R. F. G. 卡塔拉奥和M. 胡赛因,2009年)。后者对数据的拟合效果明显更好,表明早期项目记忆精度的下降是由序列中其他项目干扰的增加所解释的,而不是随机猜测或信息的时间衰减。特征属性的错误绑定是工作记忆中一个重要的误差来源。与相继呈现的RDKs相比,当两个RDKs作为透明表面同时呈现时,运动方向的记忆精度下降。然而,当一个运动表面被优先处理时,精度会提高,这表明选择性注意可以提高回忆精度。这些结果与一种资源模型一致,该模型可作为理解一系列视觉特征工作记忆的通用概念框架。