Linking repetition priming, recognition, and source memory: A single-system signal-detection account

We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct s...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Lange, Nicholas [verfasserIn] Berry, Christopher J. [verfasserIn] Hollins, Timothy J. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Recognition memory Repetition priming Source memory Mathematical model Signal detection theory

Übergeordnetes Werk:	Enthalten in: Journal of memory and language - Orlando, Fla. : Academic Press, 1985, 109
Übergeordnetes Werk:	volume:109

DOI / URN:	10.1016/j.jml.2019.104039

Katalog-ID:	ELV002935198

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520			\|a We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement.
650		4	\|a Recognition memory
650		4	\|a Repetition priming
650		4	\|a Source memory
650		4	\|a Mathematical model
650		4	\|a Signal detection theory
700	1		\|a Berry, Christopher J. \|e verfasserin \|4 aut
700	1		\|a Hollins, Timothy J. \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Journal of memory and language \|d Orlando, Fla. : Academic Press, 1985 \|g 109 \|h Online-Ressource \|w (DE-627)267327250 \|w (DE-600)1469677-0 \|w (DE-576)104193905 \|x 1096-0821 \|7 nnns
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936	b	k	\|a 17.00 \|j Sprach- und Literaturwissenschaft: Allgemeines
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author_variant	n l nl c j b cj cjb t j h tj tjh
matchkey_str	article:10960821:2019----::iknrpttopiigeontoadoreeoysnlsse
hierarchy_sort_str	2019
bklnumber	17.00
publishDate	2019
allfields	10.1016/j.jml.2019.104039 doi (DE-627)ELV002935198 (ELSEVIER)S0749-596X(19)30070-1 DE-627 ger DE-627 rda eng 400 370 150 DE-600 5,3 ssgn LING DE-30 fid 17.00 bkl Lange, Nicholas verfasserin (orcid)0000-0002-3512-3604 aut Linking repetition priming, recognition, and source memory: A single-system signal-detection account 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement. Recognition memory Repetition priming Source memory Mathematical model Signal detection theory Berry, Christopher J. verfasserin aut Hollins, Timothy J. verfasserin aut Enthalten in Journal of memory and language Orlando, Fla. : Academic Press, 1985 109 Online-Ressource (DE-627)267327250 (DE-600)1469677-0 (DE-576)104193905 1096-0821 nnns volume:109 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 17.00 Sprach- und Literaturwissenschaft: Allgemeines AR 109
spelling	10.1016/j.jml.2019.104039 doi (DE-627)ELV002935198 (ELSEVIER)S0749-596X(19)30070-1 DE-627 ger DE-627 rda eng 400 370 150 DE-600 5,3 ssgn LING DE-30 fid 17.00 bkl Lange, Nicholas verfasserin (orcid)0000-0002-3512-3604 aut Linking repetition priming, recognition, and source memory: A single-system signal-detection account 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement. Recognition memory Repetition priming Source memory Mathematical model Signal detection theory Berry, Christopher J. verfasserin aut Hollins, Timothy J. verfasserin aut Enthalten in Journal of memory and language Orlando, Fla. : Academic Press, 1985 109 Online-Ressource (DE-627)267327250 (DE-600)1469677-0 (DE-576)104193905 1096-0821 nnns volume:109 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 17.00 Sprach- und Literaturwissenschaft: Allgemeines AR 109
allfields_unstemmed	10.1016/j.jml.2019.104039 doi (DE-627)ELV002935198 (ELSEVIER)S0749-596X(19)30070-1 DE-627 ger DE-627 rda eng 400 370 150 DE-600 5,3 ssgn LING DE-30 fid 17.00 bkl Lange, Nicholas verfasserin (orcid)0000-0002-3512-3604 aut Linking repetition priming, recognition, and source memory: A single-system signal-detection account 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement. Recognition memory Repetition priming Source memory Mathematical model Signal detection theory Berry, Christopher J. verfasserin aut Hollins, Timothy J. verfasserin aut Enthalten in Journal of memory and language Orlando, Fla. : Academic Press, 1985 109 Online-Ressource (DE-627)267327250 (DE-600)1469677-0 (DE-576)104193905 1096-0821 nnns volume:109 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 17.00 Sprach- und Literaturwissenschaft: Allgemeines AR 109
allfieldsGer	10.1016/j.jml.2019.104039 doi (DE-627)ELV002935198 (ELSEVIER)S0749-596X(19)30070-1 DE-627 ger DE-627 rda eng 400 370 150 DE-600 5,3 ssgn LING DE-30 fid 17.00 bkl Lange, Nicholas verfasserin (orcid)0000-0002-3512-3604 aut Linking repetition priming, recognition, and source memory: A single-system signal-detection account 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement. Recognition memory Repetition priming Source memory Mathematical model Signal detection theory Berry, Christopher J. verfasserin aut Hollins, Timothy J. verfasserin aut Enthalten in Journal of memory and language Orlando, Fla. : Academic Press, 1985 109 Online-Ressource (DE-627)267327250 (DE-600)1469677-0 (DE-576)104193905 1096-0821 nnns volume:109 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 17.00 Sprach- und Literaturwissenschaft: Allgemeines AR 109
allfieldsSound	10.1016/j.jml.2019.104039 doi (DE-627)ELV002935198 (ELSEVIER)S0749-596X(19)30070-1 DE-627 ger DE-627 rda eng 400 370 150 DE-600 5,3 ssgn LING DE-30 fid 17.00 bkl Lange, Nicholas verfasserin (orcid)0000-0002-3512-3604 aut Linking repetition priming, recognition, and source memory: A single-system signal-detection account 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement. Recognition memory Repetition priming Source memory Mathematical model Signal detection theory Berry, Christopher J. verfasserin aut Hollins, Timothy J. verfasserin aut Enthalten in Journal of memory and language Orlando, Fla. : Academic Press, 1985 109 Online-Ressource (DE-627)267327250 (DE-600)1469677-0 (DE-576)104193905 1096-0821 nnns volume:109 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-LING SSG-OPC-ANG GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 17.00 Sprach- und Literaturwissenschaft: Allgemeines AR 109
language	English
source	Enthalten in Journal of memory and language 109 volume:109
sourceStr	Enthalten in Journal of memory and language 109 volume:109
format_phy_str_mv	Article
bklname	Sprach- und Literaturwissenschaft: Allgemeines
institution	findex.gbv.de
topic_facet	Recognition memory Repetition priming Source memory Mathematical model Signal detection theory
dewey-raw	400
isfreeaccess_bool	false
container_title	Journal of memory and language
authorswithroles_txt_mv	Lange, Nicholas @@aut@@ Berry, Christopher J. @@aut@@ Hollins, Timothy J. @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	267327250
dewey-sort	3400
id	ELV002935198
language_de	englisch
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author	Lange, Nicholas
spellingShingle	Lange, Nicholas ddc 400 ssgn 5,3 fid LING bkl 17.00 misc Recognition memory misc Repetition priming misc Source memory misc Mathematical model misc Signal detection theory Linking repetition priming, recognition, and source memory: A single-system signal-detection account
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title	Linking repetition priming, recognition, and source memory: A single-system signal-detection account
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title_full	Linking repetition priming, recognition, and source memory: A single-system signal-detection account
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title_sort	linking repetition priming, recognition, and source memory: a single-system signal-detection account
title_auth	Linking repetition priming, recognition, and source memory: A single-system signal-detection account
abstract	We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement.
abstractGer	We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement.
abstract_unstemmed	We present new behavioral data and modeling that links priming, recognition, and source memory. In four experiments, we found that the magnitude of the priming effect, as measured with identification response time in a gradual clarification task, was (1) greater for studied items receiving correct source decisions than incorrect source decisions, and (2) increased as confidence in the source decision increased. Building on the framework for modeling recognition and priming proposed by Berry, Shanks, Speekenbrink, and Henson (2012), we developed a single-system model in which source memory decisions are driven by the same memory strength signal as recognition and priming. We formally compare the model against a multiple-systems model, in which the (implicit) memory signal driving priming is distinct to the (explicit) one driving recognition and source memory. The single-system model reproduces the qualitative patterns of the association between source memory and priming better than the multiple-systems model. Comparison of the quantitative fits was not as clear-cut, however: the single-system model tended to fit better in Experiments 1 and 2, but not in Experiments 3A and 3B, where the observed association between priming and recognition was weaker. Our investigation is an initial attempt at linking priming, recognition, and source memory in the same modelling framework, and provides a basis for further exploration and refinement.
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title_short	Linking repetition priming, recognition, and source memory: A single-system signal-detection account
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doi_str	10.1016/j.jml.2019.104039
up_date	2024-07-06T17:56:48.809Z
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