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The effect of predictive history on the learning of sub-sequence contingencies

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The effect of predictive history on the learning of sub-sequence contingencies. / Beesley, T.; Le Pelley, M.E.
In: The Quarterly Journal of Experimental Psychology , Vol. 63, No. 1, 2010, p. 108-135.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Beesley, T & Le Pelley, ME 2010, 'The effect of predictive history on the learning of sub-sequence contingencies', The Quarterly Journal of Experimental Psychology , vol. 63, no. 1, pp. 108-135. https://doi.org/10.1080/17470210902831767

APA

Beesley, T., & Le Pelley, M. E. (2010). The effect of predictive history on the learning of sub-sequence contingencies. The Quarterly Journal of Experimental Psychology , 63(1), 108-135. https://doi.org/10.1080/17470210902831767

Vancouver

Beesley T, Le Pelley ME. The effect of predictive history on the learning of sub-sequence contingencies. The Quarterly Journal of Experimental Psychology . 2010;63(1):108-135. Epub 2009 Jun 18. doi: 10.1080/17470210902831767

Author

Beesley, T. ; Le Pelley, M.E. / The effect of predictive history on the learning of sub-sequence contingencies. In: The Quarterly Journal of Experimental Psychology . 2010 ; Vol. 63, No. 1. pp. 108-135.

Bibtex

@article{c35488d386334dc8b15e355eb601f9a2,
title = "The effect of predictive history on the learning of sub-sequence contingencies",
abstract = "Two experiments demonstrated that the prior predictive history of a cue governs the extent to which that cue engages in sequence learning. Using a serial reaction time task, we manipulated the predictiveness of the stimulus locations (cues) with respect to the location of the stimulus on the next trial (outcome), such that half of the cues were good predictors of their outcomes, whilst the other half were poorer predictors. Following this, all cues were then paired with novel outcomes. Learning about those cues that were previously established as good predictors proceeded more rapidly than learning for those cues previously established as poor predictors. When the simple recurrent network is modified to include a variable associability parameter, the effects are easily modelled.",
keywords = "Incidental sequence learning, Predictive history, Associability, Simple recurrent network",
author = "T. Beesley and {Le Pelley}, M.E.",
note = "cited By 16",
year = "2010",
doi = "10.1080/17470210902831767",
language = "English",
volume = "63",
pages = "108--135",
journal = "The Quarterly Journal of Experimental Psychology ",
issn = "1747-0218",
publisher = "Psychology Press Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - The effect of predictive history on the learning of sub-sequence contingencies

AU - Beesley, T.

AU - Le Pelley, M.E.

N1 - cited By 16

PY - 2010

Y1 - 2010

N2 - Two experiments demonstrated that the prior predictive history of a cue governs the extent to which that cue engages in sequence learning. Using a serial reaction time task, we manipulated the predictiveness of the stimulus locations (cues) with respect to the location of the stimulus on the next trial (outcome), such that half of the cues were good predictors of their outcomes, whilst the other half were poorer predictors. Following this, all cues were then paired with novel outcomes. Learning about those cues that were previously established as good predictors proceeded more rapidly than learning for those cues previously established as poor predictors. When the simple recurrent network is modified to include a variable associability parameter, the effects are easily modelled.

AB - Two experiments demonstrated that the prior predictive history of a cue governs the extent to which that cue engages in sequence learning. Using a serial reaction time task, we manipulated the predictiveness of the stimulus locations (cues) with respect to the location of the stimulus on the next trial (outcome), such that half of the cues were good predictors of their outcomes, whilst the other half were poorer predictors. Following this, all cues were then paired with novel outcomes. Learning about those cues that were previously established as good predictors proceeded more rapidly than learning for those cues previously established as poor predictors. When the simple recurrent network is modified to include a variable associability parameter, the effects are easily modelled.

KW - Incidental sequence learning

KW - Predictive history

KW - Associability

KW - Simple recurrent network

U2 - 10.1080/17470210902831767

DO - 10.1080/17470210902831767

M3 - Journal article

VL - 63

SP - 108

EP - 135

JO - The Quarterly Journal of Experimental Psychology

JF - The Quarterly Journal of Experimental Psychology

SN - 1747-0218

IS - 1

ER -