Testing a Neurocomputational Model of Recollection, Familiarity, and Source Recognition
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 med...
Saved in:
Published in | Journal of experimental psychology. Learning, memory, and cognition Vol. 34; no. 4; pp. 752 - 768 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
American Psychological Association
01.07.2008
|
Subjects | |
Online Access | Get more information |
Cover
Loading…
Summary: | 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. (Contains 6 figures, 1 footnote and 3 tables.) |
---|---|
ISSN: | 0278-7393 |
DOI: | 10.1037/0278-7393.34.4.752 |