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首页> 外文期刊>Journal of memory and language >Linking repetition priming, recognition, and source memory: A single system signal-detection account
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Linking repetition priming, recognition, and source memory: A single system signal-detection account

机译:链接重复启动,识别和源存储器:单个系统信号检测帐户

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摘要

We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement.
机译:我们提出了新的行为数据和建模,链接引发,识别和源存储器。在四个实验中,我们发现使用逐步澄清任务中的识别响应时间测量的引发效果的大小为(1)对于接收正确的源决策而言,比不正确的源决策更大,而(2)随着信心增加在源决定增加。建立浆果,柄,SpeekenBrink和Henson提出的建模识别和启动框架(2012),我们开发了一个单一系统模型,其中源存储器决策是由相同的存储器强度信号作为识别和启动的驱动。我们正式地将模型与多系统模型进行比较,其中(隐式)存储器信号驾驶引发是不同于(显式)一个驱动识别和源存储器。单系统模型再现源存储器之间的关联的定性模式,并优于多系统模型。定量配合的比较不是如透明切割,但是:单系统模型倾向于在实验1和2中更好地适应,但在实验3a和3b中,观察到的引发和识别之间的关联较弱。我们的调查是在同一建模框架中链接引发,识别和源存储器的初步尝试,并为进一步探索和改进提供基础。

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