Literature DB >> 18605866

Testing a neurocomputational model of recollection, familiarity, and source recognition.

Kane W Elfman1, Colleen M Parks, Andrew P Yonelinas.   

Abstract

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. (c) 2008 APA

Mesh:

Year:  2008        PMID: 18605866     DOI: 10.1037/0278-7393.34.4.752

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  23 in total

1.  Evaluating the unequal-variance and dual-process explanations of zROC slopes with response time data and the diffusion model.

Authors:  Jeffrey J Starns; Roger Ratcliff; Gail McKoon
Journal:  Cogn Psychol       Date:  2011-11-11       Impact factor: 3.468

2.  The process-dissociation approach two decades later: convergence, boundary conditions, and new directions.

Authors:  Andrew P Yonelinas; Larry L Jacoby
Journal:  Mem Cognit       Date:  2012-07

3.  The multiple neural networks of familiarity: A meta-analysis of functional imaging studies.

Authors:  Mathilde Horn; Renaud Jardri; Fabien D'Hondt; Guillaume Vaiva; Pierre Thomas; Delphine Pins
Journal:  Cogn Affect Behav Neurosci       Date:  2016-02       Impact factor: 3.282

4.  Evidence for a memory threshold in second-choice recognition memory responses.

Authors:  Colleen M Parks; Andrew P Yonelinas
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-29       Impact factor: 11.205

Review 5.  Source monitoring 15 years later: what have we learned from fMRI about the neural mechanisms of source memory?

Authors:  Karen J Mitchell; Marcia K Johnson
Journal:  Psychol Bull       Date:  2009-07       Impact factor: 17.737

6.  Looking for graded recollection: manipulating the number of details to be recollected does not affect recollection variance.

Authors:  Colleen M Parks
Journal:  Mem Cognit       Date:  2015-02

7.  Source accuracy data reveal the thresholded nature of human episodic memory.

Authors:  Iain M Harlow; David I Donaldson
Journal:  Psychon Bull Rev       Date:  2013-04

8.  Some-or-none recollection: Evidence from item and source memory.

Authors:  Serge V Onyper; Yaofei X Zhang; Marc W Howard
Journal:  J Exp Psychol Gen       Date:  2010-05

9.  ERP correlates of source memory: unitized source information increases familiarity-based retrieval.

Authors:  Rachel A Diana; Wijnand Van den Boom; Andrew P Yonelinas; Charan Ranganath
Journal:  Brain Res       Date:  2010-10-18       Impact factor: 3.252

10.  Examining the causes of memory strength variability: recollection, attention failure, or encoding variability?

Authors:  Joshua D Koen; Mariam Aly; Wei-Chun Wang; Andrew P Yonelinas
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2013-07-08       Impact factor: 3.051

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.