Suppr超能文献

视觉短期记忆中的集中趋势表示和范例匹配。

Central tendency representation and exemplar matching in visual short-term memory.

机构信息

University of South Florida, Tampa, FL, USA.

出版信息

Mem Cognit. 2019 May;47(4):589-602. doi: 10.3758/s13421-019-00900-0.

Abstract

I address a recent extension of the generalized context model (GCM), a model which excludes prototypes, to the visual short-term memory (VSTM) literature, which is currently deluged with prototype effects. The paper includes a brief review whose aim is to discuss the background and key findings suggesting that prototypes have an obligatory influence on visual short-term memory responses in the same VSTM task that the GCM's random walk extension, EBRW, was extended to account for: Sternberg scanning. I present a new model that incorporates such "central tendency representations" in memory, as well as several other regularities of the literature, and compare its prediction and postdictions to those of the GCM on some unpublished Sternberg scanning data. The GCM cannot account for the pattern in those data without post hoc modifications but the pattern is predicted nicely by the central tendency representation model. Although the new model is certainly wrong, the review and modeling exercise suggest a reconsideration of prototype models may be warranted, at least in the VSTM literature.

摘要

我将最近对广义上下文模型(GCM)的扩展应用于视觉短期记忆(VSTM)文献,该模型目前充斥着原型效应。本文包括一个简短的回顾,旨在讨论背景和关键发现,这些发现表明原型对 VSTM 任务中的视觉短期记忆反应具有强制性影响,而 GCM 的随机游走扩展 EBRW 则被扩展到了 Sternberg 扫描中:Sternberg 扫描。我提出了一个新的模型,该模型在记忆中包含了这种“中心趋势表示”,以及文献中的其他一些规律,并将其预测和后测结果与 GCM 在一些未发表的 Sternberg 扫描数据上的结果进行了比较。如果不进行事后修改,GCM 无法解释这些数据中的模式,但中心趋势表示模型很好地预测了这些模式。尽管新模型肯定是错误的,但回顾和建模练习表明,原型模型的重新考虑可能是必要的,至少在 VSTM 文献中是如此。

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