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Measuring Adaptive Control in Conflict Tasks. / Braem, Senne; Bugg, Julie M; Schmidt, James R; Crump, Matthew J C; Weissman, Daniel H; Notebaert, Wim; Egner, Tobias.

In: Trends in Cognitive Sciences, Vol. 23, No. 9, 09.2019, p. 769-783.

Research output: Contribution to journalScientific reviewResearchpeer-review

Harvard

Braem, S, Bugg, JM, Schmidt, JR, Crump, MJC, Weissman, DH, Notebaert, W & Egner, T 2019, 'Measuring Adaptive Control in Conflict Tasks' Trends in Cognitive Sciences, vol. 23, no. 9, pp. 769-783. https://doi.org/10.1016/j.tics.2019.07.002

APA

Braem, S., Bugg, J. M., Schmidt, J. R., Crump, M. J. C., Weissman, D. H., Notebaert, W., & Egner, T. (2019). Measuring Adaptive Control in Conflict Tasks. Trends in Cognitive Sciences, 23(9), 769-783. https://doi.org/10.1016/j.tics.2019.07.002

Vancouver

Braem S, Bugg JM, Schmidt JR, Crump MJC, Weissman DH, Notebaert W et al. Measuring Adaptive Control in Conflict Tasks. Trends in Cognitive Sciences. 2019 Sep;23(9):769-783. https://doi.org/10.1016/j.tics.2019.07.002

Author

Braem, Senne ; Bugg, Julie M ; Schmidt, James R ; Crump, Matthew J C ; Weissman, Daniel H ; Notebaert, Wim ; Egner, Tobias. / Measuring Adaptive Control in Conflict Tasks. In: Trends in Cognitive Sciences. 2019 ; Vol. 23, No. 9. pp. 769-783.

BibTeX

@article{92302d222fdd4d28af14edf58f54716e,
title = "Measuring Adaptive Control in Conflict Tasks",
abstract = "The past two decades have witnessed an explosion of interest in the cognitive and neural mechanisms of adaptive control processes that operate in selective attention tasks. This has spawned not only a large empirical literature and several theories but also the recurring identification of potential confounds and corresponding adjustments in task design to create confound-minimized metrics of adaptive control. The resulting complexity of this literature can be difficult to navigate for new researchers entering the field, leading to suboptimal study designs. To remediate this problem, we present here a consensus view among opposing theorists that specifies how researchers can measure four hallmark indices of adaptive control (the congruency sequence effect, and list-wide, context-specific, and item-specific proportion congruency effects) while minimizing easy-to-overlook confounds.",
author = "Senne Braem and Bugg, {Julie M} and Schmidt, {James R} and Crump, {Matthew J C} and Weissman, {Daniel H} and Wim Notebaert and Tobias Egner",
note = "Copyright {\circledC} 2019 Elsevier Ltd. All rights reserved.",
year = "2019",
month = "9",
doi = "10.1016/j.tics.2019.07.002",
language = "English",
volume = "23",
pages = "769--783",
journal = "Trends in Cognitive Sciences",
issn = "1364-6613",
publisher = "Elsevier Limited",
number = "9",

}

RIS

TY - JOUR

T1 - Measuring Adaptive Control in Conflict Tasks

AU - Braem, Senne

AU - Bugg, Julie M

AU - Schmidt, James R

AU - Crump, Matthew J C

AU - Weissman, Daniel H

AU - Notebaert, Wim

AU - Egner, Tobias

N1 - Copyright © 2019 Elsevier Ltd. All rights reserved.

PY - 2019/9

Y1 - 2019/9

N2 - The past two decades have witnessed an explosion of interest in the cognitive and neural mechanisms of adaptive control processes that operate in selective attention tasks. This has spawned not only a large empirical literature and several theories but also the recurring identification of potential confounds and corresponding adjustments in task design to create confound-minimized metrics of adaptive control. The resulting complexity of this literature can be difficult to navigate for new researchers entering the field, leading to suboptimal study designs. To remediate this problem, we present here a consensus view among opposing theorists that specifies how researchers can measure four hallmark indices of adaptive control (the congruency sequence effect, and list-wide, context-specific, and item-specific proportion congruency effects) while minimizing easy-to-overlook confounds.

AB - The past two decades have witnessed an explosion of interest in the cognitive and neural mechanisms of adaptive control processes that operate in selective attention tasks. This has spawned not only a large empirical literature and several theories but also the recurring identification of potential confounds and corresponding adjustments in task design to create confound-minimized metrics of adaptive control. The resulting complexity of this literature can be difficult to navigate for new researchers entering the field, leading to suboptimal study designs. To remediate this problem, we present here a consensus view among opposing theorists that specifies how researchers can measure four hallmark indices of adaptive control (the congruency sequence effect, and list-wide, context-specific, and item-specific proportion congruency effects) while minimizing easy-to-overlook confounds.

U2 - 10.1016/j.tics.2019.07.002

DO - 10.1016/j.tics.2019.07.002

M3 - Scientific review

VL - 23

SP - 769

EP - 783

JO - Trends in Cognitive Sciences

JF - Trends in Cognitive Sciences

SN - 1364-6613

IS - 9

ER -

ID: 46847868