Silberman Yaron, Miikkulainen Risto, Bentin Shlomo
Department of Psychology and Center for Neural Computation, Hebrew University of Jerusalem, Jerusalem, Israel.
Psychol Sci. 2005 Feb;16(2):161-6. doi: 10.1111/j.0956-7976.2005.00797.x.
In prior work, we developed a computational model of how episodic associations between words are formed. Simulating associative learning, the model indicated that strongly associated semantically unrelated words facilitate the episodic association of other exemplars included in their semantic neighborhoods. This prediction was supported empirically by the present study. First, the incidental formation of strong associations between unrelated words, such as dog and table, improved cued recall of weak associations formed incidentally between semantic neighbors, like cat and chair. Second, deciding that two words were semantically unrelated was facilitated by forming strong associations between other words in their respective semantic neighborhoods, even if the tested pair was not presented at study. Together with the computational model, the present results demonstrate that forming episodic associations between words can implicitly mediate the association of other exemplars from the same semantic categories and reveal a mechanism by which the semantic system contributes to the formation of new episodic associations.
在之前的研究中,我们开发了一个关于单词间情景联想如何形成的计算模型。通过模拟联想学习,该模型表明语义不相关但联系紧密的单词会促进其语义邻域中其他示例的情景联想。本研究从实证角度支持了这一预测。首先,不相关单词(如狗和桌子)之间偶然形成的强烈联想,改善了语义邻域中偶然形成的弱联想(如猫和椅子)的线索回忆。其次,即便测试的单词对在学习时未呈现,但在其各自语义邻域中其他单词之间形成强烈联想,有助于判断这两个单词在语义上不相关。结合计算模型,目前的研究结果表明,在单词之间形成情景联想可以隐式地介导来自相同语义类别的其他示例之间的联想,并揭示了语义系统促进新情景联想形成的一种机制。