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Out of control: An associative account of congruency effects in sequence learning

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Out of control: An associative account of congruency effects in sequence learning. / Beesley, T.; Jones, F.W.; Shanks, D.R.
In: Consciousness and Cognition, Vol. 21, No. 1, 03.2012, p. 413-421.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Beesley, T, Jones, FW & Shanks, DR 2012, 'Out of control: An associative account of congruency effects in sequence learning', Consciousness and Cognition, vol. 21, no. 1, pp. 413-421. https://doi.org/10.1016/j.concog.2011.09.020

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Vancouver

Beesley T, Jones FW, Shanks DR. Out of control: An associative account of congruency effects in sequence learning. Consciousness and Cognition. 2012 Mar;21(1):413-421. Epub 2011 Nov 16. doi: 10.1016/j.concog.2011.09.020

Author

Beesley, T. ; Jones, F.W. ; Shanks, D.R. / Out of control : An associative account of congruency effects in sequence learning. In: Consciousness and Cognition. 2012 ; Vol. 21, No. 1. pp. 413-421.

Bibtex

@article{bb2db7a751644e3393e8641075482eab,
title = "Out of control: An associative account of congruency effects in sequence learning",
abstract = "The demonstration of a sequential congruency effect in sequence learning has been offered as evidence for control processes that act to inhibit automatic response tendencies (Jim{\'e}nez, Lupi{\'a}{\~n}ez, & Vaquero, 2009) via unconscious conflict monitoring. Here we propose an alternative interpretation of this effect based on the associative learning of chains of sequenced contingencies. This account is supported by simulations with a Simple Recurrent Network, an associative (connectionist) model of sequence learning. We argue that the control- and associative-based accounts differ in their predictions concerning the magnitude of the sequential congruency effect across training. These predictions are tested by reanalysing data from a study by Shanks, Wilkinson, and Channon (2003). The results support the associative learning account which explains the sequential congruency effect without appealing to control processes (either conscious or unconscious).",
keywords = "Control, Sequential congruency, Associative learning, Connectionism",
author = "T. Beesley and F.W. Jones and D.R. Shanks",
note = "cited By 2",
year = "2012",
month = mar,
doi = "10.1016/j.concog.2011.09.020",
language = "English",
volume = "21",
pages = "413--421",
journal = "Consciousness and Cognition",
issn = "1053-8100",
publisher = "Academic Press Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Out of control

T2 - An associative account of congruency effects in sequence learning

AU - Beesley, T.

AU - Jones, F.W.

AU - Shanks, D.R.

N1 - cited By 2

PY - 2012/3

Y1 - 2012/3

N2 - The demonstration of a sequential congruency effect in sequence learning has been offered as evidence for control processes that act to inhibit automatic response tendencies (Jiménez, Lupiáñez, & Vaquero, 2009) via unconscious conflict monitoring. Here we propose an alternative interpretation of this effect based on the associative learning of chains of sequenced contingencies. This account is supported by simulations with a Simple Recurrent Network, an associative (connectionist) model of sequence learning. We argue that the control- and associative-based accounts differ in their predictions concerning the magnitude of the sequential congruency effect across training. These predictions are tested by reanalysing data from a study by Shanks, Wilkinson, and Channon (2003). The results support the associative learning account which explains the sequential congruency effect without appealing to control processes (either conscious or unconscious).

AB - The demonstration of a sequential congruency effect in sequence learning has been offered as evidence for control processes that act to inhibit automatic response tendencies (Jiménez, Lupiáñez, & Vaquero, 2009) via unconscious conflict monitoring. Here we propose an alternative interpretation of this effect based on the associative learning of chains of sequenced contingencies. This account is supported by simulations with a Simple Recurrent Network, an associative (connectionist) model of sequence learning. We argue that the control- and associative-based accounts differ in their predictions concerning the magnitude of the sequential congruency effect across training. These predictions are tested by reanalysing data from a study by Shanks, Wilkinson, and Channon (2003). The results support the associative learning account which explains the sequential congruency effect without appealing to control processes (either conscious or unconscious).

KW - Control

KW - Sequential congruency

KW - Associative learning

KW - Connectionism

U2 - 10.1016/j.concog.2011.09.020

DO - 10.1016/j.concog.2011.09.020

M3 - Journal article

VL - 21

SP - 413

EP - 421

JO - Consciousness and Cognition

JF - Consciousness and Cognition

SN - 1053-8100

IS - 1

ER -