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A neural network model of individual differences in task switching abilities
Open accessAbstract
We use a biologically grounded neural network model to investigate the brain mechanisms underlying individual differences specific to the selection and instantiation of representations that exert cognitive control in task switching. Existing computational models of task switching do not focus on individual differences and so cannot explain why task switching abilities are separable from other executive function (EF) abilities (such as response inhibition). We explore hypotheses regarding neural mechanisms underlying the "Shifting-Specific" and "Common EF" components of EF proposed in the Unity/Diversity model (Miyake & Friedman, 2012) and similar components in related theoretical frameworks. We do so by adapting a well-developed neural network model of working memory (Prefrontal cortex, Basal ganglia Working Memory or PBWM; Hazy, Frank, & O'Reilly, 2007) to task switching and the Stroop task, and comparing its behavior on those tasks under a variety of individual difference manipulations. Results are consistent with the hypotheses that variation specific to task switching (i.e., Shifting-Specific) may be related to uncontrolled, automatic persistence of goal representations, whereas variation general to multiple EFs (i.e., Common EF) may be related to the strength of PFC representations and their effect on processing in the remainder of the cognitive system. Moreover, increasing signal to noise ratio in PFC, theoretically tied to levels of tonic dopamine and a genetic polymorphism in the COMT gene, reduced Stroop interference but increased switch costs. This stability-flexibility tradeoff provides an explanation for why these two EF components sometimes show opposing correlations with other variables such as attention problems and self-restraint.
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“An alternative proposal is that the unity component reflects individual differences in the ability to actively maintain goals and use those goals to bias ongoing processing [29, 97, 167].”
From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [167]
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Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0734 · Cited by 15,798
Self-citationAn Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351
Miyake, A., & Friedman, N. P. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721411429458 · Cited by 3,944
Self-citationWechsler Adult Intelligence Scale-III
Ryan, J. J., & Lopez, S. J. (2001) · Springer eBooks · doi:10.1007/978-1-4615-1185-4_2 · Cited by 3,680
Costs of a predictible switch between simple cognitive tasks.
Rogers, R. D., & Monsell, S. (1995) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.124.2.207 · Cited by 3,170
Monsell, S. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00028-7 · Cited by 2,984
Effect of COMT Val 108/158 Met genotype on frontal lobe function and risk for schizophrenia
Egan, M. F., Goldberg, T. E., Kolachana, B. S., Callicott, J. H., Mazzanti, C. M., Straub, R. E., Goldman, D. A., & Weinberger, D. R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.111134598 · Cited by 2,416
Models of Working Memory: Mechanisms of Active Maintenance and Executive Control
Miyake, A., & Shah, P. (1999) · Cited by 2,404
The relations among inhibition and interference control functions: A latent-variable analysis.
Friedman, N. P., & Miyake, A. (2004) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.133.1.101 · Cited by 2,309 · cited 2×
“In a similar vein, we have noted in previous work that while response inhibition, working memory updating, and task shifting are some of the most commonly discussed EFs, there are other possible separable EFs (e.g., Friedman & Miyake, 2004; Friedman et al., 2008; Miyake et al., 2000).”
BackgroundResultSelf-citationCohen, J. D., Dunbar, K. N., & McClelland, J. L. (1990) · Psychological Review · doi:10.1037/0033-295x.97.3.332 · Cited by 2,192
The prefontral cortex and cognitive control
Miller, E. K. (2000) · Nature Reviews Neuroscience · doi:10.1038/35036228 · Cited by 2,016
By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism
Frank, M. J., Seeberger, L. C., & O'Reilly, R. C. (2004) · Science · doi:10.1126/science.1102941 · Cited by 1,964
Self-citationThe Architecture of Cognitive Control in the Human Prefrontal Cortex
Koechlin, É., Ody, C., & Kouneiher, F. (2003) · Science · doi:10.1126/science.1088545 · Cited by 1,939
Kane, M. J., & Engle, R. W. (2003) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.132.1.47 · Cited by 1,725 · cited 1×
“…in response inhibition tasks and other tasks that involve conflict (which many of our EF tasks do), a view consistent with views of inhibitory control as a by-product of goal maintenance (Chatham et al., 2012; Herd et al., 2006; Kane & Engle, 2003; Morton & Munakata, 2002; Munakata et al., 2011).”
BackgroundIndividual differences in executive functions are almost entirely genetic in origin.
Friedman, N. P., Miyake, A., Young, S. E., DeFries, J. C., Corley, R. P., & Hewitt, J. K. (2008) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.137.2.201 · Cited by 1,547
Self-citation(2008) · doi:10.1093/acprof:oso/9780195168648.001.0001 · Cited by 1,529
Control and interference in task switching—A review
Kiesel, A., Steinhauser, M., Wendt, M., Falkenstein, M., Jost, K., Philipp, A. M., & Koch, I. (2010) · Psychological Bulletin · doi:10.1037/a0019842 · Cited by 1,485
Control of Cognitive Processes: Attention and Performance XVIII
Monsell, S., & Driver, J. (2000) · UCL Discovery (University College London) · Cited by 1,451
Shifting Intentional Set: Exploring the Dynamic Control of Tasks
(1994) · The MIT Press eBooks · doi:10.7551/mitpress/1478.003.0025 · Cited by 1,328
Not All Executive Functions Are Related to Intelligence
Friedman, N. P., Miyake, A., Corley, R. P., Young, S. E., DeFries, J. C., & Hewitt, J. K. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01681.x · Cited by 1,293
Self-citationDimensions of executive functioning: evidence from children
Lehto, J. E., Juujärvi, P., Kooistra, L., & Pulkkinen, L. (2003) · British Journal of Developmental Psychology · doi:10.1348/026151003321164627 · Cited by 1,226
Engle, R. W., Kane, M. J., & Tuholski, S. W. (1999) · Models of Working Memory · doi:10.1017/cbo9781139174909.007 · Cited by 1,195
O’Reilly, R. C., & Frank, M. J. (2005) · Neural Computation · doi:10.1162/089976606775093909 · Cited by 1,124
Self-citationIntelligence and the Frontal Lobe: The Organization of Goal-Directed Behavior
Duncan, J., Emslie, H., Williams, P., Johnson, R., & Freer, C. (1996) · Cognitive Psychology · doi:10.1006/cogp.1996.0008 · Cited by 902
Explaining the Many Varieties of Working Memory Variation: Dual Mechanisms of Cognitive Control
Braver, T. S., Gray, J. R., & Burgess, G. C. (2008) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195168648.003.0004 · Cited by 886
Interactions between frontal cortex and basal ganglia in working memory: A computational model
FRANK, M. J., LOUGHRY, B., & O'REILLY, R. C. (2001) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.1.2.137 · Cited by 879
Self-citationExecutive control of visual attention in dual-task situations.
Logan, G. D., & Gordon, R. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.2.393 · Cited by 788
Task switching: Interplay of reconfiguration and interference control.
Vandierendonck, A., Liefooghe, B., & Verbruggen, F. (2010) · Psychological Bulletin · doi:10.1037/a0019791 · Cited by 783
A Network Model of Catecholamine Effects: Gain, Signal-to-Noise Ratio, and Behavior
Servan‐Schreiber, D., Printz, H., & Cohen, J. D. (1990) · Science · doi:10.1126/science.2392679 · Cited by 783
(1994) · The MIT Press eBooks · doi:10.7551/mitpress/1478.001.0001 · Cited by 749
(1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.3.301 · Cited by 711
Changing internal constraints on action: The role of backward inhibition.
Mayr, U., & Keele, S. W. (2000) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.129.1.4 · Cited by 710
Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making
Frank, M. J. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.03.006 · Cited by 706
Catechol-o-Methyltransferase, Cognition, and Psychosis: Val158Met and Beyond
Tunbridge, E. M., Harrison, P. J., & Weinberger, D. R. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.10.024 · Cited by 699
A unified framework for inhibitory control
Munakata, Y., Herd, S. A., Chatham, C. H., Depue, B. E., Banich, M. T., & O’Reilly, R. C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.07.011 · Cited by 699
Self-citationAdult age differences in task switching.
Kray, J., & Lindenberger, U. (2000) · Psychology and Aging · doi:10.1037/0882-7974.15.1.126 · Cited by 691
Adult age differences in task switching.
Kray, J., & Lindenberger, U. (2000) · Psychology and Aging · doi:10.1037//0882-7974.15.1.126 · Cited by 690
Badre, D., & D'Esposito, M. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.12.2082 · Cited by 615
The role of inhibition in task switching: A review
Koch, I., Gade, M., Schuch, S., & Philipp, A. M. (2010) · Psychonomic Bulletin & Review · doi:10.3758/pbr.17.1.1 · Cited by 493
Hazy, T. E., Frank, M. J., & O’Reilly, R. C. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2055 · Cited by 476
Self-citationBiologically Based Computational Models of High-Level Cognition
O’Reilly, R. C. (2006) · Science · doi:10.1126/science.1127242 · Cited by 461
Self-citationClever homunculus: Is there an endogenous act of control in the explicit task-cuing procedure?
Logan, G. D., & Bundesen, C. (2003) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.29.3.575 · Cited by 444
Cognitive control over learning: Creating, clustering, and generalizing task-set structure.
Collins, A. G. E., & Frank, M. J. (2013) · Psychological Review · doi:10.1037/a0030852 · Cited by 426
Young, S. E., Friedman, N. P., Miyake, A., Willcutt, E. G., Corley, R. P., Haberstick, B. C., & Hewitt, J. K. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0014657 · Cited by 420
Self-citationIntentional Reconfiguration and Involuntary Persistence in Task Set Switching
(2000) · The MIT Press eBooks · doi:10.7551/mitpress/1481.003.0023 · Cited by 419
Prefrontal cortex and flexible cognitive control: Rules without symbols
Rougier, N. P., Noelle, D. C., Braver, T. S., Cohen, J. D., & O’Reilly, R. C. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502455102 · Cited by 414
Self-citationExploring the unity and diversity of the neural substrates of executive functioning
Collette, F., Van der Linden, M., Laureys, S., Delfiore, G., Degueldre, C., Luxen, A., & Salmon, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20118 · Cited by 409 · cited 1×
“…work has repeatedly demonstrated that EFs can be characterized as a family of related but separable abilities, both at behavioral and neural levels (e.g., Collette et al., 2005; Friedman et al., 2006; Hedden & Yoon, 2006; Lehto, Juujä rvi, Kooistra, & Pulkkinen, 2003; Miyake et al., 2000).”
BackgroundBanishing the homunculus: Making working memory work
Hazy, T. E., Frank, M. J., & O’Reilly, R. C. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2005.04.067 · Cited by 385
Self-citationChatham, C. H., Frank, M. J., & Munakata, Y. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810002106 · Cited by 368
Self-citationFriedman, N. P., Miyake, A., Robinson, J. L., & Hewitt, J. K. (2011) · Developmental Psychology · doi:10.1037/a0023750 · Cited by 357
Self-citationOn the Origins of the Task Mixing Cost in the Cuing Task-Switching Paradigm.
Rubin, O., & Meiran, N. (2005) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.31.6.1477 · Cited by 335
A Biologically Based Computational Model of Working Memory
O’Reilly, R. C., Braver, T. S., & Cohen, J. D. (1999) · Cambridge University Press eBooks · doi:10.1017/cbo9781139174909.014 · Cited by 327
Self-citationRole of prefrontal cortex and the midbrain dopamine system in working memory updating
D’Ardenne, K., Eshel, N., Luka, J., Lenartowicz, A., Nystrom, L. E., & Cohen, J. D. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116727109 · Cited by 323
Miyake, A., Emerson, M. J., Padilla, F., & Ahn, J.-C. (2004) · Acta Psychologica · doi:10.1016/j.actpsy.2003.12.004 · Cited by 317
An integrated model of cognitive control in task switching.
Altmann, E. M., & Gray, W. D. (2008) · Psychological Review · doi:10.1037/0033-295x.115.3.602 · Cited by 315
An Intention-Activation Account of Residual Switch Costs
de Jong, R., Monsell, S., & Driver, J. (2000) · The MIT Press eBooks · doi:10.7551/mitpress/1481.003.0024 · Cited by 312
Morton, J. B., & Munakata, Y. (2002) · Developmental Psychobiology · doi:10.1002/dev.10033 · Cited by 273
(1972) · PubMed · Cited by 241
Flexible shaping: How learning in small steps helps
Krueger, K. A., & Dayan, P. (2009) · Cognition · doi:10.1016/j.cognition.2008.11.014 · Cited by 233
Greater Attention Problems During Childhood Predict Poorer Executive Functioning in Late Adolescence
Friedman, N. P., Haberstick, B. C., Willcutt, E. G., Miyake, A., Young, S. E., Corley, R. P., & Hewitt, J. K. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01997.x · Cited by 229
Self-citationFrank, M. J., Santamaria, A., O'Reilly, R. C., & Willcutt, E. (2007) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301278 · Cited by 227
Self-citationA computational model of fractionated conflict-control mechanisms in task-switching
Brown, J. W., Reynolds, J. R., & Braver, T. S. (2006) · Cognitive Psychology · doi:10.1016/j.cogpsych.2006.09.005 · Cited by 226
A neural network model of retrieval-induced forgetting
Norman, K. A., Newman, E. L., & Detre, G. (2007) · Psychological Review · doi:10.1037/0033-295x.114.4.887 · Cited by 218 · cited 1×
“The competitive learning effects hypothesized and supported by Norman, Newman, and Detre (2007) offer one such explanation; they propose that neurons that are briefly activated, then are competitively inhibited , weakening their connections.”
BackgroundTask preparation and task repetition: Two-component model of task switching.
Sohn, M.-H., & Anderson, J. R. (2001) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.130.4.764 · Cited by 214
Hedden, T., & Yoon, C. (2006) · Neuropsychology · doi:10.1037/0894-4105.20.5.511 · Cited by 212
Beyond working memory: the role of persistent activity in decision making
Curtis, C. E., & Lee, D. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.03.006 · Cited by 191
Impact of the COMT Val108/158 Met and DAT genotypes on prefrontal function in healthy subjects
Caldú, X., Vendrell, P., Bartrés‐Faz, D., Clemente, I. C., Bargalló, N., Jurado, M. Á., Serra-Grabulosa, J. M., & Junqué, C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.021 · Cited by 185
Cognitive control reflects context monitoring, not motoric stopping, in response inhibition
Chatham, C. H., Claus, E. D., Kim, A., Curran, T., Banich, M. T., & Munakata, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031546 · Cited by 182
Self-citationHerd, S. A., Banich, M. T., & O’Reilly, R. C. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/089892906775250012 · Cited by 167
Self-citationPVLV: The Primary Value and Learned Value Pavlovian Learning Algorithm.
O’Reilly, R. C., Frank, M. J., Hazy, T. E., & Watz, B. (2007) · Behavioral Neuroscience · doi:10.1037/0735-7044.121.1.31 · Cited by 147
Self-citationRigas, P., & Castro‐Alamancos, M. A. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0003-07.2007 · Cited by 147
Altamirano, L. J., Miyake, A., & Whitmer, A. J. (2010) · Psychological Science · doi:10.1177/0956797610381505 · Cited by 141
Task Difficulty Manipulation Reveals Multiple Demand Activity but no Frontal Lobe Hierarchy
Crittenden, B. M., & Duncan, J. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs333 · Cited by 141
Colzato, L. S., Waszak, F., Nieuwenhuis, S., Danielle Posthuma, B., & Hommel, B. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.04.023 · Cited by 132
The Neuromodulatory System: A Framework for Survival and Adaptive Behavior in a Challenging World
Krichmar, J. L. (2008) · Adaptive Behavior · doi:10.1177/1059712308095775 · Cited by 132
Meiran, N., Kessler, Y., & Adi‐Japha, E. (2008) · Psychological Research · doi:10.1007/s00426-008-0136-8 · Cited by 116
Computational cognitive neuroscience
Becker, S., & Daw, N. D. (2009) · Brain Research · doi:10.1016/j.brainres.2009.09.114 · Cited by 115
From an Executive Network to Executive Control: A Computational Model of the n-back Task
Chatham, C. H., Herd, S. A., Brant, A. M., Hazy, T. E., Miyake, A., O'Reilly, R., & Friedman, N. P. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00047 · Cited by 115
Self-citationIndividual Differences in Childhood Sleep Problems Predict Later Cognitive Executive Control
Friedman, N. P., Corley, R. P., Hewitt, J. K., & Wright, K. P. (2009) · Sleep · doi:10.1093/sleep/32.3.323 · Cited by 112
Self-citationSynaptic and Spiking Dynamics underlying Reward Reversal in the Orbitofrontal Cortex
Deco, G. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh103 · Cited by 112
Neural mechanisms of acquired phasic dopamine responses in learning
Hazy, T. E., Frank, M. J., & O’Reilly, R. C. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.11.019 · Cited by 107
Self-citationArrington, C. M., Logan, G. D., & Schneider, D. W. (2007) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.33.3.484 · Cited by 91
The Function and Organization of Lateral Prefrontal Cortex: A Test of Competing Hypotheses
Reynolds, J. R., O’Reilly, R. C., Cohen, J. D., & Braver, T. S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030284 · Cited by 72
Self-citationBlackwell, K. A., Chatham, C. H., Wiseheart, M., & Munakata, Y. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.04.016 · Cited by 54
Self-citationThe Leabra Cognitive Architecture: How to Play 20 Principles with Nature and Win!
O’Reilly, R. C., Hazy, T. E., & Herd, S. A. (2012) · Cited by 39
Self-citationThe Leabra Cognitive Architecture
O’Reilly, R. C., Hazy, T. E., & Herd, S. A. (2015) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199842193.013.8 · Cited by 34
Self-citationComputational and neural mechanisms of task switching
Reynolds, J. R., Braver, T. S., Brown, J. W., & der Stigchel, S. V. (2006) · Neurocomputing · doi:10.1016/j.neucom.2005.12.102 · Cited by 34
Distinguishing Reconfiguration and Compound-cue Retrieval in Task Switching
Logan, G. D., & Schneider, D. W. (2010) · Psychologica Belgica · doi:10.5334/pb-50-3-4-413 · Cited by 25
Bilder, R. M. (2012) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2012.14.1/rbilder · Cited by 18
Chemical Neuromodulation of Goal-Directed Behavior
(2012) · The MIT Press eBooks · doi:10.7551/mitpress/9529.003.0013 · Cited by 9
A Neural Network Model of Individual Differences in Task Switching Abilities (Author's Manuscript)
Herd, S. A., O’Reilly, R. C., Hazy, T. E., Chatham, C. H., Brant, A. M., & Friedman, N. P. (2014) · Cited by 2
Self-citationSkinner, E. F. (1938) · JAPANES JOURNAL OF MEDICAL INSTRUMENTATION · doi:10.4286/ikakikaigakuzassi.15.7_240_2
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“An alternative proposal is that the unity component reflects individual differences in the ability to actively maintain goals and use those goals to bias ongoing processing [29, 97, 167].”
BackgroundSelf-citationWhat limits working memory capacity?
Oberauer, K., Farrell, S., Jarrold, C., & Lewandowsky, S. (2016) · Psychological Bulletin · doi:10.1037/bul0000046 · Cited by 416
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Metadata
- Authors
- Herd, S. A., O׳Reilly, R. C., Hazy, T. E., Chatham, C. H., Brant, A. M., & Friedman, N. P.
- Affiliations
- University of Colorado Boulder (US)
- Corresponding author
- Friedman, Naomi P.
- Venue
- Neuropsychologia
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 62
- Pages
- 375-389
- ISSN
- 0028-3932 (ISSN-L)
- PMC
- PMC4167201
- OpenAlex
- W2041159118
- Cited by
- 128
- References
- 96
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 16 · 2023: 9 · 2022: 11 · 2021: 11 · 2020: 11 · 2019: 9 · 2018: 14 · 2017: 10 · 2016: 12 · 2015: 9 · 2014: 3
- FWCI
- 6.32
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuropsychologia (publishedVersion)
- PubMed (publishedVersion)
- Bristol Research (University of Bristol) (publishedVersion)
- PubMed Central (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Funders
- National Institutes of Health
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- task switching, individual differences, cognitive control, executive function, prefrontal cortex, Stroop task, switch costs, signal-to-noise ratio, dopamine, COMT gene polymorphism, response inhibition
- MeSH terms
- Attention, Brain, Brain Mapping, Computer Simulation, Female, Humans, Individuality, Male, Memory, Short-Term, Models, Neurological, Reaction Time, Executive Function, Stroop Test
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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