Testing a neurocomputational model of recollection, familiarity, and source recognition
Testing a neurocomputational model of recollection, familiarity, and source recognition
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DOI：
10.1037/0278-7393.34.4.752
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发表时间：
2008-07-01
影响因子：
2.6
通讯作者：
Yonelinas, Andrew P.
中科院分区：
文献类型：
--
作者：
Elfman, Kane W.;Parks, Colleen M.;Yonelinas, Andrew P.
作者评估了内侧颞叶的互补学习系统模型（Norman & O'Reilly，2003）是否能够解释源识别接收器操作特征（ROCS）。该模型假设，再认反映了大脑皮层介导的回忆过程和皮层介导的熟悉过程的贡献。发现海马过程产生阈值输出函数，导致U形zROC，而皮质过程产生高斯信号检测函数和线性zROC。该模型是一致的识别的几个双过程理论，并能够产生的项目和源识别的研究中观察到的zROCs的类型。此外，该模型还做出了一个新的预测，即随着项目之间特征相似性水平的增加，海马体为每个刺激编码不同表征的能力将减弱，回忆的阈值性质将被打破，导致源zROC变得更加线性。作者进行了3个新的行为源实验，证实了模型的预测。结果表明，该模型提供了一个可行的帐户项目和源识别性能。
The authors assess whether the complementary learning systems model of the medial temporal lobes (Norman & O'Reilly, 2003) is able to account for source recognition receiver operating characteristics (ROCS). The model assumes that recognition reflects the contribution of a hippocampally mediated recollection process and a cortically mediated familiarity process. The hippocampal process is found to produce threshold output functions that lead to U-shaped zROCs, whereas the cortical process produces Gaussian signal detection functions and linear zROCs. The model is consistent with several dual process theories of recognition and is capable of producing the types of zROCs observed in studies of item and source recognition. In addition, the model makes the novel prediction that as the level of feature similarity across items increases, the ability of the hippocampus to encode distinct representations for each stimulus will diminish, and the threshold nature of recollection will break down, leading source zROCs to become more linear. The authors conducted 3 new behavioral source experiments that confirmed the model's prediction. The results demonstrate that the model provides a viable account of item and source recognition performance.