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Executive functions are cognitive gadgets

Published online by Cambridge University Press:  12 September 2019

Senne Braem Open the ORCID record for Senne Braem [Opens in a new window]  and
Bernhard Hommel Open the ORCID record for Bernhard Hommel [Opens in a new window]
Senne Braem
Affiliation:
Department of Psychology, Vrije Universiteit Brussel, 1050 Brussels, Belgium. senne.braem@vub.be
Bernhard Hommel
Affiliation:
Institute of Psychology, Leiden University, 2333 AK Leiden, The Netherlands. hommel@fsw.leidenuniv.nlbernhard-hommel.eu
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Abstract

Many psychologists and neuroscientists still see executive functions as independent, domain-general, supervisory functions that are often dissociated from more “low-level” associative learning. Here, we suggest that executive functions very much build on associative learning, and argue that executive functions might be better understood as culture-sensitive cognitive gadgets, rather than as ready-made cognitive instincts.

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Open Peer Commentary
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Behavioral and Brain Sciences , Volume 42 , 2019 , e173
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Copyright © Cambridge University Press 2019 

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References

Abrahamse, E., Braem, S., Notebaert, W. & Verguts, T. (2016) Grounding cognitive control in associative learning. Psychological Bulletin 142:693–728.Google Scholar
Ach, N. (1910) Über den willensakt und das temperament. Quelle & Meyer.Google Scholar
Arrington, C. M. & Logan, G. D. (2004) The cost of a voluntary task switch. Psychological Science 15(9):610–15.Google Scholar
Blakemore, S. J. & Choudhury, S. (2006) Development of the adolescent brain: Implications for executive function and social cognition. Journal of Child Psychology and Psychiatry 47(3–4):296–312.Google Scholar
Braem, S. (2017) Conditioning task switching behavior. Cognition 166:272–276.Google Scholar
Braem, S. & Egner, E. (2018) Getting a grip on cognitive flexibility. Current Directions in Psychological Science 27:470–476.Google Scholar
Braem, S., Verguts, T. & Notebaert, W. (2011) Conflict adaptation by means of associative learning. Journal of Experimental Psychology: Human Perception and Performance 37:1662–66.Google Scholar
Byrne, B., Samuelsson, S., Wadsworth, S., Hulslander, J., Corley, R., DeFries, J. C., Quain, P., Willcutt, E. G. & Olson, R. K. (2007) Longitudinal twin study of early literacy development: Preschool through Grade 1. Reading and Writing 20(1–2):77–102.Google Scholar
Carruthers, P. (2013) Evolution of working memory. Proceedings of the National Academy of Sciences USA 110(Suppl 2):10371–78.Google Scholar
Colzato, L. S., Hommel, B. & Shapiro, K. (2010) Religion and the attentional blink: Depth of faith predicts depth of the blink. Frontiers in Psychology 1:147.Google Scholar
Colzato, L. S., Slagter, H., de Rover, M. & Hommel, B. (2011) Dopamine and the management of attentional resources: Genetic markers of striatal D2 dopamine predict individual differences in the attentional blink. Journal of Cognitive Neuroscience 23(11):3576–85.Google Scholar
Cools, R. & D'Esposito, M. (2010) Dopaminergic modulation of flexible cognitive control in humans. In: Dopamine handbook, ed. Björklund, A., Dunnett, S., Iversen, L. & Iversen, S., pp. 249–60. Oxford University Press.Google Scholar
Crump, M. J., Gong, Z. & Milliken, B. (2006) The context-specific proportion congruent Stroop effect: Location as a contextual cue. Psychonomic Bulletin & Review 13(2):316–321.Google Scholar
Deacon, T. W. (1997) The symbolic species. Norton.Google Scholar
Dennett, D. (1978) Brainstorms: Philosophical essays on mind and psychology. MIT Press.Google Scholar
Dolan, R. J. & Dayan, P. (2013) Goals and habits in the brain. Neuron 80(2):312–25.Google Scholar
Egner, T. (2014) Creatures of habit (and control): A multi-level learning perspective on the modulation of congruency effects. Frontiers in Psychology 5:Article ID 1247.Google Scholar
Eisenreich, B. R., Akaishi, R. & Hayden, B. Y. (2017) Control without controllers: Toward a distributed neuroscience of executive control. Journal of Cognitive Neuroscience 29(10):1684–98.Google Scholar
Evans, J. S. B. & Stanovich, K. E. (2013) Dual-process theories of higher cognition: Advancing the debate. Perspectives on Psychological Science 8(3):223–41.Google Scholar
Friedman, N. P. & Miyake, A. (2017) Unity and diversity of executive functions: Individual differences as a window on cognitive structure. Cortex 86:186–204.Google Scholar
Friedman, N. P., Miyake, A., Altamirano, L. J., Corley, R. P., Young, S. E., Rhea, S. A. & Hewitt, J. K. (2016) Stability and change in executive function abilities from late adolescence to early adulthood: A longitudinal twin study. Developmental Psychology 52(2):326.Google Scholar
Fröber, K. & Dreisbach, G. (2017) Keep flexible – keep switching! The influence of forced task switching on voluntary task switching. Cognition 162:48–53.Google Scholar
Hayden, B. Y. (2018) Why has evolution not selected for perfect self-control? Philosophical Transactions of the Royal Society B: Biological Sciences 374(1766):2018.0139. Available at: https://doi.org/10.1098/rstb.2018.0139.Google Scholar
Heilbronner, S. R. & Hayden, B. Y. (2016) Dorsal anterior cingulate cortex: A bottom-up view. Annual Review of Neuroscience 39:149–70.Google Scholar
Hermer-Vazquez, L., Moffet, A. & Munkholm, P. (2001) Language, space, and the development of cognitive flexibility in humans: The case of two spatial memory tasks. Cognition 79(3):263–99.Google Scholar
Heyes, C. (2018) Cognitive gadgets: The cultural evolution of thinking. Harvard University Press.Google Scholar
Hommel, B. & Colzato, L.S. (2017) The social transmission of metacontrol policies: Mechanisms underlying the interpersonal transfer of persistence and flexibility. Neuroscience and Biobehavioral Reviews 81 (Part A):43–58.Google Scholar
Hommel, B., Colzato, L. S., Scorolli, C., Borghi, A. M. & van den Wildenberg, W. P. M. (2011) Religion and action control: Faith-specific modulation of the Simon effect but not stop-signal performance. Cognition 120(2):177–85.Google Scholar
Hughes, C. H. & Ensor, R. A. (2009) How do families help or hinder the emergence of early executive function? New Directions for Child and Adolescent Development 2009(123):35–50.Google Scholar
Inoue, S. & Matsuzawa, T. (2007) Working memory of numerals in chimpanzees. Current Biology 17(23):R1004–R1005.Google Scholar
Janczyk, M. & Leuthold, H. (2018) Effector system-specific sequential modulations of congruency effects. Psychonomic Bulletin & Review 25(3):1066–72.Google Scholar
Jurado, M. B. & Rosselli, M. (2007) The elusive nature of executive functions: A review of our current understanding. Neuropsychology Review 17(3):213–233.Google Scholar
Kahneman, D. (2003) A perspective on judgment and choice: Mapping bounded rationality. American Psychologist 58(9):697–720.Google Scholar
Karr, J. E., Areshenkoff, C. N., Rast, P., Hofer, S. M., Iverson, G. L. & Garcia-Barrera, M. A. (2018) The unity and diversity of executive functions: A systematic review and re-analysis of latent variable studies. Psychological Bulletin 144(11):1147.Google Scholar
Kovas, Y., Haworth, C. M., Dale, P. S., Plomin, R., Weinberg, R. A., Thomson, J. M. & Fischer, K. W. (2007) The genetic and environmental origins of learning abilities and disabilities in the early school years. Monographs of the Society for Research in Child Development 72(3):i,iii–v,vii,1–156. Available at: https://www.jstor.org/stable/i30163176.Google Scholar
Lan, X., Legare, C. H., Ponitz, C. C., Li, S. & Morrison, F. J. (2011) Investigating the links between the subcomponents of executive function and academic achievement: A cross-cultural analysis of Chinese and American preschoolers. Journal of Experimental Child Psychology 108(3):677–92.Google Scholar
Logue, S. F. & Gould, T. J. (2014) The neural and genetic basis of executive function: Attention, cognitive flexibility, and response inhibition. Pharmacology Biochemistry and Behavior 123:45–54.Google Scholar
Lotem, A., Halpern, J. Y., Edelman, S. & Kolodny, O. (2017) The evolution of cognitive mechanisms in response to cultural innovations. Proceedings of the National Academy of Sciences USA 114(30):7915–22.Google Scholar
Mansouri, F. A., Egner, T. & Buckley, M. J. (2017) Monitoring demands for executive control: Shared functions between human and nonhuman primates. Trends in Neurosciences 40(1):15–27.Google Scholar
Mayr, U. & Bryck, R. L. (2005) Sticky rules: Integration between abstract rules and specific actions. Journal of Experimental Psychology: Learning, Memory, and Cognition 31(2):337–50.Google Scholar
Melby-Lervåg, M., Redick, T. S. & Hulme, C. (2016) Working memory training does not improve performance on measures of intelligence or other measures of “far transfer” evidence from a meta-analytic review. Perspectives on Psychological Science 11(4):512–34.Google Scholar
Oh, S. & Lewis, C. (2008) Korean preschoolers’ advanced inhibitory control and its relation to other executive skills and mental state understanding. Child Development 79(1):80–99.Google Scholar
Pope, S. M., Fagot, J., Meguerditchian, A., Washburn, D. A. & Hopkins, W. D. (2019) Enhanced cognitive flexibility in the seminomadic Himba. Journal of Cross-Cultural Psychology 50(1):47–62.Google Scholar
Pope, S. M., Meguerditchian, A., Hopkins, W. D. & Fagot, J. (2015) Baboons (Papio papio), but not humans, break cognitive set in a visuomotor task. Animal Cognition 18(6):1339–46.Google Scholar
Sabbagh, M. A., Xu, F., Carlson, S. M., Moses, L. J. & Lee, K. (2006) The development of executive functioning and theory of mind: A comparison of Chinese and US preschoolers. Psychological Science 17(1):74–81.Google Scholar
Schultz, W. (2013) Updating dopamine reward signals. Current Opinion in Neurobiology 23(2):229–38.Google Scholar
Simons, D. J., Boot, W. R., Charness, N., Gathercole, S. E., Chabris, C. F., Hambrick, D. Z. & Stine-Morrow, E. A. (2016) Do “brain-training” programs work? Psychological Science in the Public Interest 17(3):103–186.Google Scholar
Spapé, M. M. & Hommel, B. (2008) He said, she said: Episodic retrieval induces conflict adaptation in an auditory Stroop task. Psychonomic Bulletin & Review 15(6):1117–21.Google Scholar
Tully, K. & Bolshakov, V. Y. (2010) Emotional enhancement of memory: how norepinephrine enables synaptic plasticity. Molecular Brain 3(1):15.Google Scholar
Verbruggen, F. & Logan, G. D. (2008) Automatic and controlled response inhibition: associative learning in the go/no-go and stop-signal paradigms. Journal of Experimental Psychology: General 137(4):649.Google Scholar
Waszak, F., Hommel, B. & Allport, A. (2003) Task-switching and long-term priming: Role of episodic stimulus-task bindings in task-shift costs. Cognitive Psychology 46:361–413.Google Scholar
Zmigrod, L., Rentfrow, P. J., Zmigrod, S. & Robbins, T. W. (2018) Cognitive flexibility and religious disbelief. Psychological Research. Published online 11 June 2018. https://link.springer.com/content/pdf/10.1007%2Fs00426-018-1034-3.pdfGoogle Scholar