2016
DOI: 10.1016/j.cogpsych.2016.10.004
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The Parallel Episodic Processing (PEP) model 2.0: A single computational model of stimulus-response binding, contingency learning, power curves, and mixing costs

Abstract: The current paper presents an extension of the Parallel Episodic Processing model.The model is developed for simulating behaviour in performance (i.e., speeded response time) tasks and learns to anticipate both how and when to respond based on retrieval of memories of previous trials. With one fixed parameter set, the model is shown to successfully simulate a wide range of different findings. These include: practice curves in the Stroop paradigm, contingency learning effects, learning acquisition curves, stimu… Show more

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Cited by 90 publications
(119 citation statements)
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References 123 publications
(184 reference statements)
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“…This latter observation seems rather incompatible with the idea that binding effects result from temporary links between stimuli and responses formed in a short-term memory store, whereas contingency learning effects result from encoded regularities in a longer-term store (e.g., Colzato, Raffone, & Hommel, 2006). Instead, this similarity points to the viability of our proposal that binding and contingency learning effects result from the exact same memory processes (Schmidt & De Houwer, 2016a;Schmidt et al, 2016), namely episodic storage and retrieval (Logan, 1988).…”
Section: Discussioncontrasting
confidence: 52%
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“…This latter observation seems rather incompatible with the idea that binding effects result from temporary links between stimuli and responses formed in a short-term memory store, whereas contingency learning effects result from encoded regularities in a longer-term store (e.g., Colzato, Raffone, & Hommel, 2006). Instead, this similarity points to the viability of our proposal that binding and contingency learning effects result from the exact same memory processes (Schmidt & De Houwer, 2016a;Schmidt et al, 2016), namely episodic storage and retrieval (Logan, 1988).…”
Section: Discussioncontrasting
confidence: 52%
“…Similar results have been observed with other changes in stimulus features (Allenmark, Moutsopoulou, & Waszak, 2015;Biederman & Cooper, 1991;Biederman & Gerhardstein, 1993). Given our recent proposal that binding effects likely result from the same memory processes that produce contingency learning (Schmidt & De Houwer, 2016a;Schmidt, De Houwer, & Rothermund, 2016), we expected the colour-word contingency effect based on abstract-level categories to occur as readily as the category-based binding effects just outlined. Accordingly, we expected responding to become faster and more accurate to high contingency trials where an item of a category (e.g., professions) is presented in the expected color (e.g., "lawyer" in grey), relative to low contingency trials where an item of the same category is presented in the unexpected color (e.g., "doctor" in orange).…”
Section: Introductionsupporting
confidence: 58%
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“…Due to the contingency, most of these will point to a purple response. A computational model of this sort of learning, the Parallel Episodic Processing (PEP) model, has already been demonstrated to produce such contingency learning effects (Schmidt, 2013a;see also, Schmidt, 2013bsee also, Schmidt, , 2016Schmidt & Weissman, 2016) and a forthcoming paper successfully models the acquisition curves PRACTICE AND CONTINGENCY LEARNING 26 observed in the current report (Schmidt, De Houwer, & Rothermund, 2016).…”
Section: Mechanisms Of Contingency Learningmentioning
confidence: 94%
“…One possibility is the automatic retrieval of episodic representations from memory (e.g., Hintzman, 1988;Logan, 1988;Schmidt, De Houwer, & Rothermund, 2016). For instance, when instructed 'X'left, an episodic trace of this event might be stored in memory.…”
Section: Discussionmentioning
confidence: 99%