Recollection and familiarity: Examining controversial assumptions and new directions
It is well accepted that recognition memory reflects the contribution of two separable memory retrieval processes, namely recollection and familiarity. However, fundamental questions remain regarding the functional nature and neural substrates of these processes. In this article, we describe a simpl...
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Published in | Hippocampus Vol. 20; no. 11; pp. 1178 - 1194 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.11.2010
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Subjects | |
Online Access | Get full text |
ISSN | 1050-9631 1098-1063 1098-1063 |
DOI | 10.1002/hipo.20864 |
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Abstract | It is well accepted that recognition memory reflects the contribution of two separable memory retrieval processes, namely recollection and familiarity. However, fundamental questions remain regarding the functional nature and neural substrates of these processes. In this article, we describe a simple quantitative model of recognition memory (i.e., the dual‐process signal detection model) that has been useful in integrating findings from a broad range of cognitive studies, and that is now being applied in a growing number of neuroscientific investigations of memory. The model makes several strong assumptions about the behavioral nature and neural substrates of recollection and familiarity. A review of the literature indicates that these assumptions are generally well supported, but that there are clear boundary conditions in which these assumptions break down. We argue that these findings provide important insights into the operation of the processes underlying recognition. Finally, we consider how the dual‐process approach relates to recent neuroanatomical and computational models and how it might be integrated with recent findings concerning the role of medial temporal lobe regions in other cognitive functions such as novelty detection, perception, implicit memory and short‐term memory. © 2010 Wiley‐Liss, Inc. |
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AbstractList | It is well accepted that recognition memory reflects the contribution of two separable memory retrieval processes, namely recollection and familiarity. However, fundamental questions remain regarding the functional nature and neural substrates of these processes. In this article, we describe a simple quantitative model of recognition memory (i.e., the dual-process signal detection model) that has been useful in integrating findings from a broad range of cognitive studies, and that is now being applied in a growing number of neuroscientific investigations of memory. The model makes several strong assumptions about the behavioral nature and neural substrates of recollection and familiarity. A review of the literature indicates that these assumptions are generally well supported, but that there are clear boundary conditions in which these assumptions break down. We argue that these findings provide important insights into the operation of the processes underlying recognition. Finally, we consider how the dual-process approach relates to recent neuroanatomical and computational models and how it might be integrated with recent findings concerning the role of medial temporal lobe regions in other cognitive functions such as novelty detection, perception, implicit memory and short-term memory. It is well accepted that recognition memory reflects the contribution of two separable memory retrieval processes, namely recollection and familiarity. However, fundamental questions remain regarding the functional nature and neural substrates of these processes. In this article, we describe a simple quantitative model of recognition memory (i.e., the dual-process signal detection model) that has been useful in integrating findings from a broad range of cognitive studies, and that is now being applied in a growing number of neuroscientific investigations of memory. The model makes several strong assumptions about the behavioral nature and neural substrates of recollection and familiarity. A review of the literature indicates that these assumptions are generally well supported, but that there are clear boundary conditions in which these assumptions break down. We argue that these findings provide important insights into the operation of the processes underlying recognition. Finally, we consider how the dual-process approach relates to recent neuroanatomical and computational models and how it might be integrated with recent findings concerning the role of medial temporal lobe regions in other cognitive functions such as novelty detection, perception, implicit memory and short-term memory.It is well accepted that recognition memory reflects the contribution of two separable memory retrieval processes, namely recollection and familiarity. However, fundamental questions remain regarding the functional nature and neural substrates of these processes. In this article, we describe a simple quantitative model of recognition memory (i.e., the dual-process signal detection model) that has been useful in integrating findings from a broad range of cognitive studies, and that is now being applied in a growing number of neuroscientific investigations of memory. The model makes several strong assumptions about the behavioral nature and neural substrates of recollection and familiarity. A review of the literature indicates that these assumptions are generally well supported, but that there are clear boundary conditions in which these assumptions break down. We argue that these findings provide important insights into the operation of the processes underlying recognition. Finally, we consider how the dual-process approach relates to recent neuroanatomical and computational models and how it might be integrated with recent findings concerning the role of medial temporal lobe regions in other cognitive functions such as novelty detection, perception, implicit memory and short-term memory. It is well accepted that recognition memory reflects the contribution of two separable memory retrieval processes, namely recollection and familiarity. However, fundamental questions remain regarding the functional nature and neural substrates of these processes. In this article, we describe a simple quantitative model of recognition memory (i.e., the dual‐process signal detection model) that has been useful in integrating findings from a broad range of cognitive studies, and that is now being applied in a growing number of neuroscientific investigations of memory. The model makes several strong assumptions about the behavioral nature and neural substrates of recollection and familiarity. A review of the literature indicates that these assumptions are generally well supported, but that there are clear boundary conditions in which these assumptions break down. We argue that these findings provide important insights into the operation of the processes underlying recognition. Finally, we consider how the dual‐process approach relates to recent neuroanatomical and computational models and how it might be integrated with recent findings concerning the role of medial temporal lobe regions in other cognitive functions such as novelty detection, perception, implicit memory and short‐term memory. © 2010 Wiley‐Liss, Inc. |
Author | Koen, Joshua D. Wang, Wei-Chun Aly, Mariam Yonelinas, Andrew P. |
Author_xml | – sequence: 1 givenname: Andrew P. surname: Yonelinas fullname: Yonelinas, Andrew P. email: apyonelinas@ucdavis.edu organization: Department of Psychology, University of California, Davis, California – sequence: 2 givenname: Mariam surname: Aly fullname: Aly, Mariam organization: Department of Psychology, University of California, Davis, California – sequence: 3 givenname: Wei-Chun surname: Wang fullname: Wang, Wei-Chun organization: Department of Psychology, University of California, Davis, California – sequence: 4 givenname: Joshua D. surname: Koen fullname: Koen, Joshua D. organization: Department of Psychology, University of California, Davis, California |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/20848606$$D View this record in MEDLINE/PubMed |
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Confidence in recognition memory for words: Dissociating right prefrontal 2007; 104 2002; 15 2010; 107 2006; 33 2002; 12 1995; 34 1997; 277 2002; 11 2004; 4 1974; 1 2008; 34 1974 1985; 26 2010; 22 2009; 13 2001a; 356 2000; 12 2005; 102 2000; 11 2008; 28 2006; 26 1995; 21 1953; 60 2009; 19 1998; 12 2009; 15 2007; 17 2007; 18 2004; 42 2001b; 130 29 2002; 9 1971; 27 1997; 25 2006b; 103 1999; 25 2002; 2 2008; 59 1999; 22 2003; 37 2003; 38 2003; 39 2001; 27 1995; 2 2008b; 18 1996; 125 1995; 1 2007; 11 2007; 13 2003; 31 2004; 431 2010; 48 1990; 28 2006; 44 2006; 49 1997; 35 1997; 34 2008; 45 2008; 46 2005; 15 2005; 18 2005; 12 42 2009; 106 2009; 45 1993; 7 2009; 47 2005a; 15 1978; 30 1997; 111 1980; 87 2003; 13 2005; 21 2007; 30 1996; 35 2003; 114 1992; 99 2006a; 13 2003; 110 2005; 25 1994; 20 1997; 11 2002; 46 2007; 133 2005b; 43 2003; 4 2002; 109 2001; 18 1996; 24 1996; 5 2001; 13 2005; 33 2001; 71 2009; 20 2006; 13 1985; 4 2000; 26 2006; 10 2008a; 19 2006; 16 2008; 18 1991; 30 2006; 1107 2005; 43 2006; 6 2008; 11 1989; 27 1999; 6 1958 2007; 57 2009; 29 1999; 9 2004; 10 1998; 38 2007; 114 2004; 111 2000; 38 2004; 19 2004; 16 1997; 121 1964 2001; 2 2007; 45 1994; 5 1998; 36 Wolk DA (e_1_2_8_140_1) Milner B (e_1_2_8_84_1) 1985; 4 Swets JA (e_1_2_8_120_1) 1964 e_1_2_8_26_1 e_1_2_8_49_1 e_1_2_8_68_1 e_1_2_8_132_1 e_1_2_8_155_1 e_1_2_8_5_1 e_1_2_8_151_1 e_1_2_8_9_1 e_1_2_8_117_1 e_1_2_8_22_1 e_1_2_8_45_1 e_1_2_8_64_1 e_1_2_8_87_1 e_1_2_8_113_1 e_1_2_8_41_1 e_1_2_8_60_1 e_1_2_8_83_1 e_1_2_8_19_1 e_1_2_8_109_1 e_1_2_8_15_1 e_1_2_8_57_1 Knowlton BJ (e_1_2_8_65_1) 1995; 21 e_1_2_8_143_1 e_1_2_8_91_1 e_1_2_8_95_1 e_1_2_8_105_1 e_1_2_8_128_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_53_1 e_1_2_8_101_1 e_1_2_8_124_1 e_1_2_8_147_1 e_1_2_8_30_1 e_1_2_8_72_1 e_1_2_8_29_1 e_1_2_8_25_1 e_1_2_8_48_1 Ranganath C (e_1_2_8_99_1); 42 e_1_2_8_2_1 e_1_2_8_133_1 e_1_2_8_110_1 e_1_2_8_152_1 e_1_2_8_6_1 Wheeler MA (e_1_2_8_136_1) 2003; 39 e_1_2_8_21_1 e_1_2_8_67_1 e_1_2_8_44_1 e_1_2_8_86_1 e_1_2_8_118_1 e_1_2_8_63_1 e_1_2_8_137_1 e_1_2_8_40_1 e_1_2_8_82_1 e_1_2_8_114_1 e_1_2_8_18_1 Verfaellie M (e_1_2_8_130_1) 1993; 7 e_1_2_8_14_1 e_1_2_8_37_1 e_1_2_8_79_1 e_1_2_8_94_1 e_1_2_8_144_1 e_1_2_8_90_1 Murdock BB (e_1_2_8_85_1) 1974 e_1_2_8_121_1 e_1_2_8_98_1 e_1_2_8_10_1 e_1_2_8_56_1 e_1_2_8_106_1 e_1_2_8_33_1 e_1_2_8_75_1 e_1_2_8_129_1 e_1_2_8_52_1 e_1_2_8_102_1 e_1_2_8_148_1 e_1_2_8_71_1 e_1_2_8_125_1 e_1_2_8_28_1 e_1_2_8_24_1 e_1_2_8_47_1 e_1_2_8_3_1 e_1_2_8_81_1 e_1_2_8_111_1 e_1_2_8_153_1 e_1_2_8_20_1 e_1_2_8_43_1 e_1_2_8_89_1 e_1_2_8_119_1 e_1_2_8_138_1 e_1_2_8_62_1 Mandler G (e_1_2_8_76_1) 1980; 87 e_1_2_8_115_1 e_1_2_8_134_1 e_1_2_8_17_1 Atkinson RC (e_1_2_8_7_1) 1974 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_59_1 Rudebeck SR (e_1_2_8_107_1); 29 e_1_2_8_70_1 e_1_2_8_122_1 e_1_2_8_141_1 e_1_2_8_97_1 e_1_2_8_32_1 e_1_2_8_55_1 e_1_2_8_78_1 e_1_2_8_149_1 e_1_2_8_51_1 e_1_2_8_74_1 Egan JP (e_1_2_8_38_1) 1958 e_1_2_8_103_1 e_1_2_8_126_1 e_1_2_8_145_1 e_1_2_8_93_1 e_1_2_8_46_1 e_1_2_8_27_1 e_1_2_8_69_1 e_1_2_8_80_1 e_1_2_8_154_1 e_1_2_8_4_1 e_1_2_8_131_1 e_1_2_8_150_1 e_1_2_8_8_1 e_1_2_8_42_1 e_1_2_8_88_1 e_1_2_8_116_1 e_1_2_8_23_1 e_1_2_8_139_1 e_1_2_8_112_1 Koen JD (e_1_2_8_66_1) e_1_2_8_61_1 e_1_2_8_135_1 e_1_2_8_39_1 e_1_2_8_35_1 e_1_2_8_16_1 e_1_2_8_58_1 e_1_2_8_92_1 e_1_2_8_96_1 e_1_2_8_100_1 e_1_2_8_142_1 e_1_2_8_31_1 e_1_2_8_77_1 e_1_2_8_127_1 e_1_2_8_12_1 e_1_2_8_54_1 e_1_2_8_108_1 e_1_2_8_73_1 e_1_2_8_123_1 e_1_2_8_50_1 e_1_2_8_104_1 e_1_2_8_146_1 |
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SubjectTerms | Amnesia - physiopathology Animals Association Learning - physiology dual-process hippocampus Hippocampus - blood supply Hippocampus - physiology Humans Magnetic Resonance Imaging - methods Mental Recall - physiology Models, Psychological recognition Recognition, Psychology - physiology ROC Curve Signal Detection, Psychological signal-detection threshold |
Title | Recollection and familiarity: Examining controversial assumptions and new directions |
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