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Evidence for the contribution of a threshold retrieval process to semantic memory

机译:阈值检索过程对语义记忆贡献的证据

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It is widely held that episodic retrieval can recruit two processes: a threshold context retrieval process (recollection) and a continuous signal strength process (familiarity). Conversely the processes recruited during semantic retrieval are less well specified. We developed a semantic task analogous to single-item episodic recognition to interrogate semantic recognition receiver-operating characteristics (ROCs) for a marker of a threshold retrieval process. We fitted observed ROC points to three signal detection models: two models typically used in episodic recognition (unequal variance and dual-process signal detection models) and a novel dual-process recollect-to-reject (DP-RR) signal detection model that allows a threshold recollection process to aid both target identification and lure rejection. Given the nature of most semantic questions, we anticipated the DP-RR model would best fit the semantic task data. Experiment 1 (506 participants) provided evidence for a threshold retrieval process in semantic memory, with overall best fits to the DP-RR model. Experiment 2 (316 participants) found within-subjects estimates of episodic and semantic threshold retrieval to be uncorrelated. Our findings add weight to the proposal that semantic and episodic memory are served by similar dual-process retrieval systems, though the relationship between the two threshold processes needs to be more fully elucidated.
机译:广泛认为,这是一种招募两个过程:阈值上下文检索过程(回忆)和连续信号强度处理(熟悉程度)。相反,在语义检索期间招募的过程较少指定。我们开发了一种类似于单项epiSodic识别的语义任务,以查询阈值检索过程的标记的语义识别接收器操作特性(ROC)。我们拟合了观察到的ROC指向三个信号检测模型:通常用于ePiSodic识别(不平等方差和双处理信号检测模型)和允许的新型双程回忆 - 拒绝(DP-RR)信号检测模型中使用的两种模型阈值回忆过程,以帮助目标识别和吸引抑制。鉴于大多数语义问题的性质,我们预计DP-RR模型将最适合语义任务数据。实验1(506名参与者)为语义记忆中的阈值检索过程提供了证据,总体上最好适合DP-RR模型。实验2(316名参与者)在对象内发现的科目和语义阈值检索的受试者估计是不相关的。我们的调查结果为类似的双过程检索系统提供了语义和插值存储器的提议,尽管需要更完全阐明两个阈值过程之间的关系。

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