We present a model of the encoding of episodic associations between items, extending the dynamic approach to retrieval and decision making of Cox and Shiffrin (2017) to the dynamics of encoding. This model is the first unified account of how similarity affects associative encoding and recognition, including why studied pairs consisting of similar items are easier to recognize, why it is easy to reject novel pairs that recombine items that were studied alongside similar items, and why there is an early bias to falsely recognize novel pairs consisting of similar items that is later suppressed (Dosher, 1984; Dosher & Rosedale, 1991). Items are encoded by sampling features into limited-capacity parallel channels in working memory. Associations are encoded by conjoining features across these channels. Because similar items have common features, their channels are correlated which increases the capacity available to encode associative information. The model additionally accounts for data from a new experiment illustrating the importance of similarity for associative encoding across a variety of stimulus types (objects, words, and abstract forms) and types of similarity (perceptual or conceptual), illustrating the generality of the model. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

中文翻译：

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相似性导致相关处理：编码和识别情节关联的动态模型。

我们提出了一个项目之间情节关联的编码模型，将 Cox 和 Shiffrin (2017) 的动态检索和决策方法扩展到编码动态。这个模型是第一个关于相似性如何影响关联编码和识别的统一描述，包括为什么由相似项目组成的研究对更容易识别，为什么很容易拒绝将与相似项目一起研究的项目重新组合的新对，以及为什么有是错误识别由相似项目组成的新对的早期偏见，后来被压制（Dosher，1984 年；Dosher 和 Rosedale，1991 年）。项目通过将特征采样到工作记忆中容量有限的并行通道进行编码。关联由跨这些通道的联合特征编码。因为相似的物品有共同的特点，它们的通道是相关的，这增加了可用于编码关联信息的容量。该模型还考虑了来自新实验的数据，该实验说明了相似性对于各种刺激类型（对象、单词和抽象形式）和相似性类型（感知或概念）的关联编码的重要性，从而说明了模型的通用性。（PsycINFO 数据库记录 (c) 2020 APA，保留所有权利）。