Abstract
In popular imagination creativity requires us to surrender control. Yet, attention is at the heart of control, and many studies show attention to play a key role in the creative process. This is partly due to the selective nature of attention—creative cognition consists of two phases, idea generation and idea evaluation, and selective processes are essential for both phases. Here, we investigate attentional (i.e., selective) mechanisms underlying each phase, using the framework of two major attention taxonomies: top-down/bottom-up and internal/external attention. We argue that creative cognition is supported by a dynamic interplay between the typically opposing sides of each taxonomy. Further, we argue that this dynamic relationship is reflected in interactions across three large-scale brain networks: the default mode (DMN), frontoparietal control (FPN), and salience (SN) networks. Our review of the evidence suggests that creative cognition is best achieved through the flexible use of multiple forms of attention, rather than through reduced attention. We thus propose a two-dimensional space, including one dimension for top-down/bottom-up attention and another for internal/external attention, which can sufficiently capture the flexibility and diversity of attentional mechanisms underlying different stages and components of creative cognition.
References
Abraham, A. (2018). The forest versus the trees: Creativity, cognition and imagination. In R. Jung & O. Vartanian (Eds.), The Cambridge handbook of the neuroscience of creativity (pp. 195–210). Cambridge University Press. https://doi.org/10.1017/9781316556238.012
Agnoli, S., Vanucci, M., Pelagatti, C., & Corazza, G. E. (2018). Exploring the link between mind wandering, mindfulness, and creativity: A multidimensional approach. Creativity Research Journal, 30(1), 41–53. https://doi.org/10.1080/10400419.2018.1411423
Allen, A. P., & Thomas, K. E. (2011). A dual process account of creative thinking. Creativity Research Journal, 23(2), 109–118. https://doi.org/10.1080/10400419.2011.571183
Ansburg, P. I., & Hill, K. (2003). Creative and analytic thinkers differ in their use of attentional resources. Personality and Individual Differences, 34(7), 1141–1152. https://doi.org/10.1016/S0191-8869(02)00104-6
Aziz‐Zadeh, L., Kaplan, J. T., & Iacoboni, M. (2009). “Aha!”: The neural correlates of verbal insight solutions. Human Brain Mapping, 30(3), 908–916. https://doi.org/10.1002/hbm.20554
Baird, B., Smallwood, J., Mrazek, M. D., Kam, J. W. Y., Franklin, M. S., & Schooler, J. W. (2012). Inspired by distraction: Mind wandering facilitates creative incubation. Psychological Science, 23(10), 1117–1122. https://doi.org/10.1177/0956797612446024
Ballard, D. H., Hayhoe, M. M., Pook, P. K., & Rao, R. P. N. (1997). Deictic codes for the embodiment of cognition. Behavioral and Brain Sciences, 20(4), 723–767. https://doi.org/10.1017/S0140525X97001611
Baluch, F., & Itti, L. (2011). Mechanisms of top-down attention. Trends in Neurosciences, 34(4), 210–224. https://doi.org/10.1016/j.tins.2011.02.003
Beaty, R. E., Benedek, M., Silvia, P. J., & Schacter, D. L. (2016). Creative cognition and brain network dynamics. Trends in Cognitive Sciences, 20(2), 87–95. https://doi.org/10.1016/j.tics.2015.10.004
Beaty, R. E., Kenett, Y. N., Christensen, A. P., Rosenberg, M. D., Benedek, M., Chen, Q., Fink, A., Qiu, J., Kwapil, T. R., Kane, M. J., & Silvia, P. J. (2018). Robust prediction of individual creative ability from brain functional connectivity. Proceedings of the National Academy of Sciences, 115(5), 1087–1092. https://doi.org/10.1073/pnas.1713532115
Beaty, R. E., Seli, P., & Schacter, D. L. (2019). Network neuroscience of creative cognition: Mapping cognitive mechanisms and individual differences in the creative brain. Current Opinion in Behavioral Sciences, 27, 22–30. https://doi.org/10.1016/j.cobeha.2018.08.013
Benedek, M. (2018). Internally directed attention in creative cognition. In R. E. Jung & O. Vartanian (Eds.), The Cambridge handbook of the neuroscience of creativity (1st ed., pp. 180–194). Cambridge University Press. https://doi.org/10.1017/9781316556238.011
Benedek, M., Bergner, S., Könen, T., Fink, A., & Neubauer, A. C. (2011). EEG alpha synchronization is related to top-down processing in convergent and divergent thinking. Neuropsychologia, 49(12), 3505–3511. https://doi.org/10.1016/j.neuropsychologia.2011.09.004
Benedek, M., & Fink, A. (2019). Toward a neurocognitive framework of creative cognition: The role of memory, attention, and cognitive control. Current Opinion in Behavioral Sciences, 27, 116–122. https://doi.org/10.1016/j.cobeha.2018.11.002
Benedek, M., Jauk, E., Beaty, R. E., Fink, A., Koschutnig, K., & Neubauer, A. C. (2016). Brain mechanisms associated with internally directed attention and self-generated thought. Scientific Reports, 6(1), 22959. https://doi.org/10.1038/srep22959
Benedek, M., Jauk, E., Sommer, M., Arendasy, M., & Neubauer, A. C. (2014). Intelligence, creativity, and cognitive control: The common and differential involvement of executive functions in intelligence and creativity. Intelligence, 46, 73–83. https://doi.org/10.1016/j.intell.2014.05.007
Bengtsson, S. L., Csıkszentmihalyi, M., & Ullen, F. (2007). Cortical regions involved in the generation of musical structures during improvisation in pianists. Journal of Cognitive Neuroscience, 19(5), 830–842. https://doi.org/10.1162/jocn.2007.19.5.830v
Boccia, M., Piccardi, L., Palermo, L., Nori, R., & Palmiero, M. (2015). Where do bright ideas occur in our brain? Meta-analytic evidence from neuroimaging studies of domain-specific creativity. Frontiers in Psychology, 6, 1–12. https://doi.org/10.3389/fpsyg.2015.01195
Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain’s Default Network. Annals of the New York Academy of Sciences, 1124(1), 1–38. https://doi.org/10.1196/annals.1440.011
Buschman, T. J., & Miller, E. K. (2007). Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science, 315(5820), 1860–1862. https://doi.org/10.1126/science.1138071
Campbell, D. T. (1960). Blind variation and selective retentions in creative thought as in other knowledge processes. Psychological Review, 67(6), 380–400. https://doi.org/10.1037/h0040373
Carhart-Harris, R. L., & Friston, K. J. (2019). REBUS and the anarchic brain: Toward a unified model of the brain action of psychedelics. Pharmacological Reviews, 71(3), 316–344. https://doi.org/10.1124/pr.118.017160
Carson, S. H., Peterson, J. B., & Higgins, D. M. (2003). Decreased latent inhibition is associated with increased creative achievement in high-functioning individuals. Journal of Personality and Social Psychology, 85(3), 499–506. https://doi.org/10.1037/0022-3514.85.3.499
Christoff, K., Gordon, A. M., Smallwood, J., Smith, R., & Schooler, J. W. (2009). Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proceedings of the National Academy of Sciences, 106(21), 8719–8724. https://doi.org/10.1073/pnas.0900234106
Chrysikou, E. G. (2018). The costs and benefits of cognitive control for creativity. In R. Jung & O. Vartanian (Eds.), The Cambridge handbook of the neuroscience of creativity (pp. 195–210). Cambridge University Press. https://doi.org/10.1017/9781316556238.018
Chrysikou, E. G., Hamilton, R. H., Coslett, H. B., Datta, A., Bikson, M., & Thompson-Schill, S. L. (2013). Noninvasive transcranial direct current stimulation over the left prefrontal cortex facilitates cognitive flexibility in tool use. Cognitive Neuroscience, 4(2), 81–89. https://doi.org/10.1080/17588928.2013.768221
Chrysikou, E. G., Weber, M. J., & Thompson-Schill, S. L. (2014). A matched filter hypothesis for cognitive control. Neuropsychologia, 62, 341–355. https://doi.org/10.1016/j.neuropsychologia.2013.10.021
Chun, M. M., Golomb, J. D., & Turk-Browne, N. B. (2011). A taxonomy of external and internal attention. Annual Review of Psychology, 62(1), 73–101. https://doi.org/10.1146/annurev.psych.093008.100427
Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58(1), 7–19. https://doi.org/10.1093/analys/58.1.7
Cole, M. W., & Schneider, W. (2007). The cognitive control network: Integrated cortical regions with dissociable functions. NeuroImage, 37(1), 343–360. https://doi.org/10.1016/j.neuroimage.2007.03.071
Connor, C. E., Egeth, H. E., & Yantis, S. (2004). Visual attention: Bottom-up versus top-down. Current Biology, 14(19), 850–852. https://doi.org/10.1016/j.cub.2004.09.041
Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3(3), 201–215. https://doi.org/10.1038/nrn755
De Pisapia, N., Bacci, F., Parrott, D., & Melcher, D. (2016). Brain networks for visual creativity: A functional connectivity study of planning a visual artwork. Scientific Reports, 6(1), 39185. https://doi.org/10.1038/srep39185
Dietrich, A., & Kanso, R. (2010). A review of EEG, ERP, and neuroimaging studies of creativity and insight. Psychological Bulletin, 136(5), 822. https://doi.org/10.1037/a0019749
Dixon, M. L., Fox, K. C. R., & Christoff, K. (2014). A framework for understanding the relationship between externally and internally directed cognition. Neuropsychologia, 62, 321–330. https://doi.org/10.1016/j.neuropsychologia.2014.05.024
Edl, S., Benedek, M., Papousek, I., Weiss, E. M., & Fink, A. (2014). Creativity and the Stroop interference effect. Personality and Individual Differences, 69, 38–42. https://doi.org/10.1016/j.paid.2014.05.009
Ellamil, M., Dobson, C., Beeman, M., & Christoff, K. (2012). Evaluative and generative modes of thought during the creative process. NeuroImage, 59(2), 1783–1794. https://doi.org/10.1016/j.neuroimage.2011.08.008
Fauconnier, G., & Turner, M. (2002). The way we think: Conceptual blending and the mind’s hidden complexities. Basic Books. https://psycnet.apa.org/record/2002-02521-000
Fox, K. C. R., & Christoff, K. (2018). The Oxford handbook of spontaneous thought: Mind-wandering, creativity, and dreaming. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190464745.001.0001
Fox, K. C. R., Spreng, R. N., Ellamil, M., Andrews-Hanna, J. R., & Christoff, K. (2015). The wandering brain: Meta-analysis of functional neuroimaging studies of mind-wandering and related spontaneous thought processes. NeuroImage, 111, 611–621. https://doi.org/10.1016/j.neuroimage.2015.02.039
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences, 102(27), 9673–9678. https://doi.org/10.1073/pnas.0504136102
Gable, S. L., Hopper, E. A., & Schooler, J. W. (2019). When the muses strike: Creative ideas of physicists and writers routinely occur during mind wandering. Psychological Science, 30(3), 396–404. https://doi.org/10.1177/0956797618820626
Gaynes, R. (2017). The discovery of penicillin—new insights after more than 75 years of clinical use. Emerging Infectious Diseases, 23(5), 849–853. https://doi.org/10.3201/eid2305.161556
German, T. P., & Defeyter, M. A. (2000). Immunity to functional fixedness in young children. Psychonomic Bulletin & Review, 7(4), 707–712. https://doi.org/10.3758/BF03213010
Girn, M., Mills, C., Roseman, L., Carhart-Harris, R., & Christoff, K. (2020). Updating the dynamic framework of thought: Creativity and psychedelics. NeuroImage, 116726, 116726. https://doi.org/10.1016/j.neuroimage.2020.116726
Goldin-Meadow, S., Nusbaum, H., Kelly, S. D., & Wagner, S. (2001). Explaining math: Gesturing lightens the load. Psychological Science, 12(6), 516–522. https://doi.org/10.1111/1467-9280.00395
Gonen-Yaacovi, G., Souza, L. C., Levy, R., Urbanski, M., Josse, G., & Volle, E. (2013). Rostral and caudal prefrontal contribution to creativity: A meta-analysis of functional imaging data. Frontiers in Human Neuroscience, 7, 1–22. https://doi.org/10.3389/fnhum.2013.00465
Gong, Z., Miao, K., Liu, X., Luo, M., Yu, Y., & Chen, Z. (2023). A positive association between working memory capacity and human creativity: A meta-analytic evidence. Journal of Intelligence, 11(1), 15. https://doi.org/10.3390/jintelligence11010015
Gopnik, A., O’Grady, S., Lucas, C. G., Griffiths, T. L., Wente, A., Bridgers, S., Aboody, R., Fung, H., & Dahl, R. E. (2017). Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood. Proceedings of the National Academy of Sciences, 114(30), 7892–7899. https://doi.org/10.1073/pnas.1700811114
Guilford, J. P. (1950). Creativity. American Psychologist, 5(9), 444–454. https://doi.org/10.1037/h0063487
Guilford, J. P. (1967). The nature of human intelligence. McGraw-Hill. https://psycnet.apa.org/record/1967-35015-000
Hasenkamp, W., & Barsalou, L. W. (2012). Effects of meditation experience on functional connectivity of distributed brain networks. Frontiers in Human Neuroscience, 6, 38. https://doi.org/10.3389/fnhum.2012.00038
Herd, S. A., Banich, M. T., & O’reilly, R. C. (2006). Neural mechanisms of cognitive control: An integrative model of Stroop task performance and fMRI data. Journal of Cognitive Neuroscience, 18(1), 22–32. https://doi.org/10.1162/089892906775250012
Heuvel, van den, M. P., & Pol, H. (2010). Exploring the brain network: A review on resting-state fMRI functional connectivity. European Neuropsychopharmacology, 20(8), 519–534. https://doi.org/10.1016/j.euroneuro.2010.03.008
Hommel, B., Chapman, C. S., Cisek, P., Neyedli, H. F., Song, J. H., & Welsh, T. N. (2019). No one knows what attention is. Attention, Perception, & Psychophysics, 81(7), 2288–2303. https://doi.org/10.3758/s13414-019-01846-w
Hugdahl, K. (2009). “Hearing voices”: Auditory hallucinations as failure of top‐down control of bottom‐up perceptual processes. Scandinavian Journal of Psychology, 50(6), 553–560. https://doi.org/10.1111/j.1467-9450.2009.00775.x
Hutchins, E. (2005). Material anchors for conceptual blends. Journal of Pragmatics, 37(10), 1555–1577. https://doi.org/10.1016/j.pragma.2004.06.008
James, W. (1890). The principles of psychology (Vol. 1). Henry Holt. https://doi.org/10.1037/10538-000
Jennings, C. D. (2012). The subject of attention. Synthese, 189, 535–554. https://doi.org/10.1007/s11229-012-0164-1
Jennings, C. D. (2020). The attending mind. Cambridge University Press. https://doi.org/10.1017/9781108164238
Johansen, M. W., & Misfeldt, M. (2020). Material representations in mathematical research practice. Synthese, 197(9), 3721–3741. https://doi.org/10.1007/s11229-018-02033-4
Josipovic, Z., Dinstein, I., Weber, J., & Heeger, D. J. (2012). Influence of meditation on anti-correlated networks in the brain. Frontiers in Human Neuroscience, 5, 183. https://doi.org/10.3389/fnhum.2011.00183
Kasof, J. (1997). Creativity and breadth of attention. Creativity Research Journal, 10(4), 303–315. https://doi.org/10.1207/s15326934crj1004_2
Katsuki, F., & Constantinidis, C. (2014). Bottom-up and top-down attention: Different processes and overlapping neural systems. The Neuroscientist, 20(5), 509–521. https://doi.org/10.1177/1073858413514136
Kaufman, A. B., Kornilov, S. A., Bristol, A. S., Tan, M., & Grigorenko, E. L. (2010). The neurobiological foundation of creative cognition. In J. Kaufman & R. Sternberg (Eds.), The Cambridge handbook of creativity (pp. 216–232). Cambridge University Press. https://doi.org/10.1017/9781316979839
Kirkpatrick, S., Gelatt, C. D., Jr, & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671–680. https://doi.org/10.1126/science.220.4598.671
Kirsh, D. (2014). The importance of chance and interactivity in creativity. Pragmatics & Cognition, 22(1), 5–26. https://escholarship.org/uc/item/9zv112f5
Kleinmintz, O. M., Ivancovsky, T., & Shamay-Tsoory, S. G. (2019). The two-fold model of creativity: The neural underpinnings of the generation and evaluation of creative ideas. Current Opinion in Behavioral Sciences, 27, 131–138. https://doi.org/10.1016/j.cobeha.2018.11.004
Limb, C. J., & Braun, A. R. (2008). Neural substrates of spontaneous musical performance: An fMRI study of jazz improvisation. PloS One, 3(2), 1679. https://doi.org/10.1371/journal.pone.0001679
Liu, S., Chow, H. M., Xu, Y., Erkkinen, M. G., Swett, K. E., Eagle, M. W., Rizik-Baer, D. A., & Braun, A. R. (2012). Neural correlates of lyrical improvisation: An fMRI study of freestyle rap. Scientific Reports, 2(1), 1–8. https://doi.org/10.1038/srep00834
Liu, S., Erkkinen, M. G., Healey, M. L., Xu, Y., Swett, K. E., Chow, H. M., & Braun, A. R. (2015). Brain activity and connectivity during poetry composition: Toward a multidimensional model of the creative process. Human Brain Mapping, 36, 3351–3372. https://doi.org/10.1002/hbm.22849
Loui, P., & Guetta, R. E. (2019). Music and attention, executive function, and creativity. In M. H. Thaut & D. A. Hodges (Eds.), The Oxford handbook of music and the brain (pp. 263–284). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198804123.001.0001
Maglio, P., & Kirsh, D. (1992). Some epistemic benefits of action: Tetris, a case study. In J. Kruschke (Ed.), Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society (Vol. 14, p. 224). Lawrence Erlbaum Associates, Inc. https://philpapers.org/archive/DAVSEB.pdf
Marghetis, T., Samson, K., & Landy, D. (2019). The complex system of mathematical creativity: Modularity, burstiness, and the network structure of how experts use inscriptions. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 763–769). Cognitive Science Society. https://cogsci.mindmodeling.org/2019/papers/0148/0148.pdf
Mednick, S. A., & Mednick, M. T. (1967). Examiner’s manual, Remote Associates Test: College and adult forms 1 and 2. Houghton Mifflin. https://worldcat.org/en/title/2865561
Menon, V., & Uddin, L. Q. (2010). Saliency, switching, attention and control: A network model of insula function. Brain Structure & Function, 214(5–6), 655–667. https://doi.org/10.1007/s00429-010-0262-0
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953). Equation of state calculations by fast computing machines. The Journal of Chemical Physics, 21(6), 1087–1092. https://doi.org/10.1063/1.1699114
Monroe, J., Srikant, T., Carbonell-Bejerano, P., Becker, C., Lensink, M., Exposito-Alonso, M., & Weigel, D. (2022). Mutation bias reflects natural selection in Arabidopsis thaliana. Nature, 602, 101–105. https://doi.org/10.1038/s41586-021-04269-6
Mooneyham, B. W., & Schooler, J. W. (2013). The costs and benefits of mind-wandering: A review. Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale, 67(1), 11–18. https://doi.org/10.1037/a0031569
Nobre, A. C., & Kastner, S. (2014). Attention: Time capsule 2013. In A. C. Nobre & S. Kastner (Eds.), The Oxford handbook of attention (pp. 1201–1222). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199675111.001.0001
Nusbaum, E. C., & Silvia, P. J. (2011). Are intelligence and creativity really so different? Fluid intelligence, executive processes, and strategy use in divergent thinking. Intelligence, 39(1), 36–45. https://doi.org/10.1016/j.intell.2010.11.002
Palhano-Fontes, F., Andrade, K. C., Tofoli, L. F., Santos, A. C., Crippa, J. A. S., Hallak, J. E. C., Ribeiro, S., & Araujo, D. B. de. (2015). The psychedelic state induced by Ayahuasca modulates the activity and connectivity of the default mode network. PLOS ONE, 10(2), 0118143. https://doi.org/10.1371/journal.pone.0118143
Pinho, A. L., Ullén, F., Castelo-Branco, M., Fransson, P., & Manzano, Ö. (2015). Addressing a paradox: Dual strategies for creative performance in introspective and extrospective networks. Cerebral Cortex, 26(7), 3052–3063. https://doi.org/10.1093/cercor/bhv130
Poincaré, H. (2015). The foundations of science: Science and hypothesis, the value of science, science and method (G. Halstead, Trans.). Cambridge University Press. https://doi.org/10.1017/CBO9781107252950
Posner, M. I. (1980). Orienting of attention. Quarterly Journal of Experimental Psychology, 32(1), 3–25. https://doi.org/10.1080/00335558008248231
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences, 98(2), 676–682. https://doi.org/10.1073/pnas.98.2.676
Ramalho, G., & Ganascia, J.-G. (1994). Simulating creativity in jazz performance. Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, 108–113. https://doi.org/10.5555/2891730.2891747
Reverberi, C., Toraldo, A., D’Agostini, S., & Skrap, M. (2005). Better without (lateral) frontal cortex? Insight problems solved by frontal patients. Brain, 128(12), 2882–2890. https://doi.org/10.1093/brain/awh577
Rosen, D. S., Oh, Y., Erickson, B., Zhang, F., Kim, Y. E., & Kounios, J. (2020). Dual-process contributions to creativity in jazz improvisations: An SPM-EEG study. NeuroImage, 213, 116632. https://doi.org/10.1016/j.neuroimage.2020.116632
Rothenberg, A. (1995). Creative cognitive processes in Kekulé’s discovery of the structure of the benzene molecule. The American Journal of Psychology, 108(3), 419–438. https://doi.org/10.2307/1422898
Runco, M. A., & Basadur, M. (1993). Assessing ideational and evaluative skills and creative styles and attitudes. Creativity and Innovation Management, 2(3), 166–173. https://doi.org/10.1111/j.1467-8691.1993.tb00088.x
Runco, M. A., & Jaeger, G. J. (2012). The standard definition of creativity. Creativity Research Journal, 24(1), 92–96. https://doi.org/10.1080/10400419.2012.650092
Schooler, J. W., Smallwood, J., Christoff, K., Handy, T. C., Reichle, E. D., & Sayette, M. A. (2011). Meta-awareness, perceptual decoupling and the wandering mind. Trends in Cognitive Sciences, 15(7), 319–326. https://doi.org/10.1016/j.tics.2011.05.006
Shamay-Tsoory, S. G., Adler, N., Aharon-Peretz, J., Perry, D., & Mayseless, N. (2011). The origins of originality: The neural bases of creative thinking and originality. Neuropsychologia, 49(2), 178–185. https://doi.org/10.1016/j.neuropsychologia.2010.11.020
Shi, L., Sun, J., Xia, Y., Ren, Z., Chen, Q., Wei, D., Yang, W., & Qiu, J. (2018). Large-scale brain network connectivity underlying creativity in resting-state and task fMRI: Cooperation between default network and frontal-parietal network. Biological Psychology, 135, 102–111. https://doi.org/10.1016/j.biopsycho.2018.03.005
Silvia, P. J. (2015). Intelligence and creativity are pretty similar after all. Educational Psychology Review, 27(4), 599–606. https://doi.org/10.1007/s10648-015-9299-1
Simonton, D. K. (1999). Creativity as blind variation and selective retention: Is the creative process Darwinian? Psychological Inquiry, 10(4), 309–328. https://doi.org/10.1207/S15327965PLI1004_4
Smallwood, J., McSpadden, M., & Schooler, J. W. (2007). The lights are on but no one’s home: Meta-awareness and the decoupling of attention when the mind wanders. Psychonomic Bulletin & Review, 14(3), 527–533. https://doi.org/10.3758/BF03194102
Torrance, E. P. (1966). Torrance tests of creative thinking. Norms-technical manual. Research edition. Verbal tests, forms A and B. Figural tests, forms A and B. Personnel Press. https://worldcat.org/en/title/714040431
Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12(1), 97–136. https://doi.org/10.1016/0010-0285(80)90005-5
Uddin, L. Q. (2017). Salience network of the human brain. Academic Press. https://doi.org/10.1016/C2015-0-01862-7
Vartanian, O. (2009). Variable attention facilitates creative problem solving. Psychology of Aesthetics, Creativity, and the Arts, 3(1), 57–59. https://doi.org/10.1037/a0014781
Verschooren, S., Schindler, S., Raedt, R., & Pourtois, G. (2019). Switching attention from internal to external information processing: A review of the literature and empirical support of the resource sharing account. Psychonomic Bulletin & Review, 26(2), 468–490. https://doi.org/10.3758/s13423-019-01568-y
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008). Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. Journal of Neurophysiology, 100(6), 3328–3342. https://doi.org/10.1152/jn.90355.2008
Wallas, G. (1926). The art of thought. Harcourt, Brace; Company. https://psycnet.apa.org/record/1926-10372-000
Zabelina, D. L. (2018). Attention and creativity. In O. Vartanian & R. E. Jung (Eds.), The Cambridge handbook of the neuroscience of creativity (pp. 161–179). Cambridge University Press. https://doi.org/10.1017/9781316556238.010
Zabelina, D. L., & Andrews-Hanna, J. R. (2016). Dynamic network interactions supporting internally-oriented cognition. Current Opinion in Neurobiology, 40, 86–93. https://doi.org/10.1016/j.conb.2016.06.014
Zabelina, D. L., Friedman, N. P., & Andrews-Hanna, J. (2019). Unity and diversity of executive functions in creativity. Consciousness and Cognition, 68, 47–56. https://doi.org/10.1016/j.concog.2018.12.005
Zabelina, D. L., & Ganis, G. (2018). Creativity and cognitive control: Behavioral and ERP evidence that divergent thinking, but not real-life creative achievement, relates to better cognitive control. Neuropsychologia, 118, 20–28. https://doi.org/10.1016/j.neuropsychologia.2018.02.014
Zabelina, D. L., & Robinson, M. D. (2010). Creativity as flexible cognitive control. Psychology of Aesthetics, Creativity, and the Arts, 4(3), 136–143. https://doi.org/10.1037/a0017379
Zabelina, D. L., Saporta, A., & Beeman, M. (2016). Flexible or leaky attention in creative people? Distinct patterns of attention for different types of creative thinking. Memory & Cognition, 44(3), 488–498. https://doi.org/10.3758/s13421-015-0569-4
Zedelius, C. M., & Schooler, J. W. (2020). Capturing the dynamics of creative daydreaming. In D. D. Preiss, D. Cosmelli, & J. C. Kaufman (Eds.), Creativity and the wandering mind (pp. 55–72). Academic Press. https://doi.org/10.1016/B978-0-12-816400-6.00003-1
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