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Chapter 6 - The Role of Curiosity1 and Curiosity2 in the Emergence of Insight

from III - Pathways to Insight

Published online by Cambridge University Press:  02 May 2024

By
William James Jacobs  and
Janet Metcalfe
Edited by
Carola Salvi ,
Jennifer Wiley  and
Steven M. Smith
Carola Salvi
Affiliation:
John Cabot University, Rome
Jennifer Wiley
Affiliation:
University of Illinois, Chicago
Steven M. Smith
Affiliation:
Texas A & M University
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Summary

We propose that the processes underlying insight problem solving in humans depend on two distinctly different forms of curiosity: Curiosity1 (which is associated with a habit-based, goal-centered, reinforcement learning processing system), and Curiosity2 (which depends on the discursive, default mode, medial-temporal-lobe based processing system). The former kind of curiosity is goal directed and increases with approach to the rewarding answer. The latter is exploratory and goal averse: “twiddling.” The possibility of insight, we suggest, depends upon the individual initiating a deliberate system switch upon apprehension of an impasse. Problem solving involves engaging in a habitual mode of responding and motivation by Curiosity1. With insight problems, however, this normal mode fails to lead to a solution, and impasse results. Acknowledgment of the impasse may trigger a strategic switch to a different kind of curiosity and information processing system: the discursive, default mode Curiosity2 system, wherein the solution that was previously unavailable may be found. This view is consistent with traditional stages posited to be involved in insight problem solving. However, several paradigms used to study creativity or investigate 'Aha!' reactions do not fit easily with this view of insight. Using this perspective, we evaluate the evidence for insight in nonhuman animals.

Keywords

insightaha!problem-solvingcreativitycuriosityimpasse
Type
Chapter
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The Emergence of Insight , pp. 115 - 139
Publisher: Cambridge University Press
Print publication year: 2024

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References

Ackerman, R., & Thompson, V. A. (2017). Meta-reasoning: Monitoring and control of thinking and reasoning. Trends in Cognitive Sciences, 21(8), 607–617.CrossRefGoogle ScholarPubMed
Auble, P. M., Franks, J. J., Soraci, S. A. (1979). Effort toward comprehension: Elaboration or “aha”? Memory & Cognition 7, 426–434 (1979). https://doi.org/10.3758/BF03198259.CrossRefGoogle Scholar
Baird, B., Smallwood, J., Mrazek, M. D., et al. (2012). Inspired by distraction: Mind wandering facilitates creative incubation. Psychological Science, 23(10), 1117–1122. https://doi.org/10.1177/0956797612446024.CrossRefGoogle ScholarPubMed
Balleine, B. W., Delgado, M. R., & Hikosaka, O. (2007). The role of the dorsal striatum in reward and decision-making. Journal of Neuroscience, 27(31), 8161–8165. https://doi.org/10.1523%2FJNEUROSCI.1554-07.2007.CrossRefGoogle ScholarPubMed
Bar-Hillel, M., Noah, T., Frederick, S. (2018). Learning psychology from riddles: The case of stumpers. Judgment and Decision Making, 13, 112–122.CrossRefGoogle Scholar
Bar-Hillel, M., Noah, T., & Frederick, S. (2019). Solving stumpers, CRT and CRAT: Are the abilities related? Judgment and Decision Making, 14(5), 620–623.CrossRefGoogle Scholar
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.CrossRefGoogle ScholarPubMed
Berlyne, D. E. (1954). A theory of human curiosity. British Journal of Psychology, 45, 180–191.Google ScholarPubMed
Berridge, K. C. (2003). Pleasures of the brain, Brain and Cognition, 52(1), 106–128.CrossRefGoogle ScholarPubMed
Boot, N., Baas, M., van Gaal, S., Cools, R., & De Dreu, C. K. (2017). Creative cognition and dopaminergic modulation of fronto-striatal networks: Integrative review and research agenda. Neuroscience & Biobehavioral Reviews, 78, 13–23.CrossRefGoogle ScholarPubMed
Bowden, E. M., Jung-Beeman, M., Fleck, J., & Kounios, J. (2005). New approaches to demystifying insight. Trends in Cognitive Sciences, 9(7), 322–328. https://doi.org/10.1016/j.tics.2005.05.012.CrossRefGoogle ScholarPubMed
Brown, A. S. (1991). A review of the tip-of-the-tongue experience. Psychological Bulletin, 109, 204–223.CrossRefGoogle ScholarPubMed
Buckner, R. L. (2000). Neural origins of “I remember.” Nature Neuroscience, 3(11), 1068–1069.CrossRefGoogle ScholarPubMed
Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain’s default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Science, 1124, 1–38.CrossRefGoogle ScholarPubMed
Chu, J. & Schulz, L. (2020). Play, curiosity, and cognition. Annual Review of Developmental Psychology, 2, 317–343.CrossRefGoogle Scholar
Cohen, N. J., & Squire, L. R. (1980). Preserved learning and retention of pattern analyzing skill in amnesics: Dissociation of knowing how and knowing that. Science, 210, 207–210.CrossRefGoogle ScholarPubMed
Danek, A. H. (2018). Magic tricks, sudden restructuring and the Aha! Experience: A new model of non-monotonic problem solving. In Vallée-Tourangeau, F. (Ed.), Insight: On the origins of new ideas (pp. 51–78). Routledge.CrossRefGoogle Scholar
Danek, A. H., Fraps, T., von Müller, A., Grothe, B., & Öllinger, M. (2013). Aha! experiences leave a mark: Facilitated recall of insight solutions. Psychological Research, 77(5), 659–669.CrossRefGoogle Scholar
Danek, A. H., & Salvi, C. (2020). Moment of truth: Why Aha! experiences are correct. The Journal of Creative Behavior, 54(2), 484–486. https://doi.org/10.1002/jocb.380.CrossRefGoogle Scholar
Danek, A. H., & Wiley, J. (2020). What causes the insight memory advantage? Cognition, 205, 104411. https://doi.org/10.1016/j.cognition.2020.104411.CrossRefGoogle ScholarPubMed
Danek, A. H., Williams, J. & Wiley, J. (2020). Closing the gap: Connecting sudden representational change to the subjective Aha! experience in insightful problem solving. Psychological Research, 84, 111–119.CrossRefGoogle Scholar
Davidow, J. K., Foerde, K., Glavan, A., & Shohamy, D. (2016). An upside to reward sensitivity: The hippocampus supports enhanced reinforcement learning in adolescence. Neuron, 92(1), 93–99.CrossRefGoogle ScholarPubMed
Dietrich, A., & Kanso, R. (2010). A review of EEG, ERP, and neuroimaging studies of creativity and insight. Psychological Bulletin, 136(5), 822.CrossRefGoogle ScholarPubMed
Doeller, C. F. , & Burgess, N. (2008). Distinct error-correcting and incidental learning of location relative to landmarks and boundaries. Proceedings of the National Academy of Sciences, 105(15), 5909–5914.CrossRefGoogle Scholar
Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007). Grit: Perseverance and passion for long-term goals. Journal of Personality and Social Psychology, 92(6), 1087–1101.CrossRefGoogle ScholarPubMed
Duncker, K. (1945). On problem-solving (L. S. Lees, Trans.). Psychological Monographs, 58(5), i–113. https://doi.org/10.1037/h0093599.CrossRefGoogle Scholar
Epstein, R., Kirshnit, C. E., Lanza, R. P., & Rubin, L. C. (1984). “Insight” in the pigeon: Antecedents and determinants of an intelligent performance. Nature, 308(5954), 61–62.CrossRefGoogle ScholarPubMed
Fastrich, G. M., Kerr, T., Castel, A. D., & Murayama, K. (2018). The role of interest in memory for trivia questions: An investigation with a large-scale database. Motivation Science, 4, 227–250.CrossRefGoogle ScholarPubMed
Ferster, C. B., & Skinner, B. F. (1957). Schedules of Reinforcement. Appleton-Century-Crofts.CrossRefGoogle ScholarPubMed
Figueredo, A. J., & Jacobs, W. J. (2010). Aggression, risk-taking, and alternative life history strategies: The behavioral ecology of social deviance. Bio-Psychosocial Perspectives on Interpersonal Violence, 3–28.Google Scholar
Gallistel, C. R., Fairhurst, S., & Balsam, P. (2004). The learning curve: Implications of a quantitative analysis. Proceedings of the National Academy of Sciences, 101(36), 13124–13131.CrossRefGoogle ScholarPubMed
George, T., & Wiley, J. (2018). Breaking past the surface: Analogical transfer as creative insight. In Vallée-Tourangeau, F. (Ed.), Insight: On the origin of new ideas (pp. 143–168). Routledge.CrossRefGoogle Scholar
Glimcher, P. W. (2011). Understanding dopamine and reinforcement learning: the dopamine reward prediction error hypothesis. Proceedings of the National Academy of Sciences of the United States of America, 108(Suppl 3), 15647–15654. https://doi.org/10.1073/pnas.1014269108.CrossRefGoogle ScholarPubMed
Gottlieb, J., Oudeyer, P. Y., Lopes, M., & Baranes, A. (2013). Information-seeking, curiosity, and attention: computational and neural mechanisms. Trends in Cognitive Sciences, 17(11), 585–593. https://doi.org/10.1016/j.tics.2013.09.001.CrossRefGoogle ScholarPubMed
Graf, P., & Schacter, D. L. (1985). Implicit and explicit memory for new associations in normal and amnesic subjects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 11(3), 501–518.Google ScholarPubMed
Grice, H. P. (1975). Logic and conversation. In Cole, P. & Morgan, J. L. (Eds.), Syntax and semantics, Vol. 3 (pp. 41–58). Academic Press.Google Scholar
Hull, C. L. (1932). The goal-gradient hypothesis and maze learning. Psychological Review, 39, 25–43.CrossRefGoogle Scholar
Jacobs, W. J., & Nadel, L. (1985). Stress-induced recovery of fears and phobias. Psychological Review, 92(4), 512–531.CrossRefGoogle ScholarPubMed
James, W. (1890). The principles of psychology, Vol. 1. Dover.Google Scholar
Jansson, D. G., & Smith, S. M. (1991). Design fixation. Design Studies, 12(1), 3–11CrossRefGoogle Scholar
Johnson, A., Varberg, Z., Benhardus, J. Maahs, A, & Schrater, P. (2012). The hippocampus and exploration: Dynamically evolving behavior and neural representations. Frontiers in Human Neuroscience, 6, 1–17.CrossRefGoogle ScholarPubMed
Kahneman, D. (2011). Thinking, fast and slow. Macmillan.Google Scholar
Kahneman, D., Slovic, P., & Tversky, A. (Eds.). (1985). Judgment under uncertainty: Heuristics and biases. Cambridge University Press.Google Scholar
Kang, M. J., Hsu, M., Krajbich, I. M., et al. (2009). The wick in the candle of learning: Epistemic curiosity activates reward circuitry and enhances memory. Psychological Science, 20(8), 963–973.CrossRefGoogle ScholarPubMed
Kenrick, D. T., Griskevicius, V., Neuberg, S. L., & Schaller, M. (2010). Renovating the pyramid of needs: Contemporary extensions built upon ancient foundations. Perspectives on Psychological Science, 5(3), 292–314.CrossRefGoogle ScholarPubMed
Knowlton, B. J., Ramus, S. J., & Squire, L. R. (1992). Intact artificial grammar learning in amnesia: Dissociation of classification learning and explicit memory for specific instances. Psychological Science, 3(3), 172–179. http://www.jstor.org/stable/40062780.CrossRefGoogle Scholar
Kobayashi, K., Ravaioli, S., Baranès, A., Woodford, M., & Gottlieb, J. (2019). Diverse motives for human curiosity. Nature Human Behaviour, 3(6), 587–595. https://doi.org/10.1038/s41562-019-0589-3.CrossRefGoogle ScholarPubMed
Köhler, W. (1927). The mentality of apes (2nd rev. ed.) (E. Winter, Trans.). Routledge & Kegan Paul.Google Scholar
Kounios, J., & Beeman, M. (2014). The cognitive neuroscience of insight. Annual Review of Psychology, 65, 71–93. https://doi.org/10.1146/annurev-psych-010213-115154.CrossRefGoogle ScholarPubMed
Litman, J. (2019). Curiosity: Nature, dimensionality, and determinants. In Renninger, K. A. & Hidi, S. E. (Eds.), The Cambridge handbook of motivation and learning (pp. 418–442). Cambridge University Press.Google Scholar
Litman, J. A., Hutchins, T. L., & Russon, R. K. (2005). Epistemic curiosity, feeling-of knowing, and exploratory behavior. Cognition and Emotion, 19, 559–582.CrossRefGoogle Scholar
Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation, Psychological Bulletin, 116, 75–98.CrossRefGoogle Scholar
Macknik, S.L., Martinez-Conde, S., & Blakeslee, S. (2011). Sleights of mind: What the neuroscience of magic reveals about our everyday deceptions. Henry Holt & Co.Google Scholar
Madore, K. P., Addis, D. R. & Schacter, D. L. (2015). Creativity and memory: Effects of an encoding-specificity induction on divergent thinking. Psychological Science, 26, 1461–1468.CrossRefGoogle Scholar
Maslow, A.H. (1943). A theory of human motivation. Psychological Review, 50(4), 370–396.CrossRefGoogle Scholar
Mason, M. F., Norton, M. I., Van Horn, J. D., et al. (2007). Wandering minds: The default network and stimulus-independent thought. Science, 315(5810), 393–395. https://doi.org/10.1126/science.1131295.CrossRefGoogle ScholarPubMed
Mather, M. (2007). Emotional arousal and memory binding: An object-based framework. Perspectives on Psychological Science, 2(1), 33–52.CrossRefGoogle ScholarPubMed
Metcalfe, J. (1986a). Feeling of knowing in memory and problem solving. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 288–294.Google Scholar
Metcalfe, J. (1986b). Premonitions of insight predict impending error. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 623–634.Google Scholar
Metcalfe, J., & Jacobs, W. J. (1998). Emotional memory: Effects of stress on “Cool” and “Hot” memory systems. The Psychology of Learning & Motivation, 38, 187–221.CrossRefGoogle Scholar
Metcalfe, J., & Jacobs, W. J. (2000). “Hot” emotions in human recollection: Towards a model of traumatic memory. In Tulving, E (Ed.), Memory, consciousness, and the brain: The Tallinn Conference (pp. 228–242). Psychology Press.Google Scholar
Metcalfe, J., & Jacobs, W. J. (2023) The two faces of curiosity in creative cognition: Curiosity1, Curiosity2 (and their interaction). In Ball, L. J and Vallée-Tourangeau, F (Eds.) International handbook of creative cognition (pp. 65–79). Routledge.Google Scholar
Metcalfe, J., & Kornell, N. (2005). A regional of proximal learning model of metacognitively guided study-time allocation. Journal of Memory and Language, 52, 463–477.CrossRefGoogle Scholar
Metcalfe, J., & Mischel, W. (l999). A hot/cool system analysis of delay of gratification: Dynamics of willpower. Psychological Review, 106, 3–26.CrossRefGoogle Scholar
Metcalfe, J., & Wiebe, D. (1987). Intuition in insight and noninsight problem solving. Memory & Cognition, 15(3), 238–246. https://doi.org/10.3758/BF03197722.CrossRefGoogle ScholarPubMed
Metcalfe, J., Kennedy-Pyers, T. & Vuorre, M. (2021). Curiosity and the desire for agency: Wait, wait … don’t tell me! Cognitive Research: Principles and Implications, 6, 69.Google ScholarPubMed
Metcalfe, J. , Schwartz, B. L. , & Bloom, P. A. (2017). The tip-of-the-tongue state and curiosity. Cognitive Research: Principles and Implications, 2(1), 1–8. https://doi.org/10.1162/10.1186/s41235-017-0065-4.Google Scholar
Metcalfe, J., Schwartz, B. L., & Eich, T. S. (2020). Epistemic curiosity and the region of proximal learning. Current Opinion in Behavioral Sciences, 35, 40–47.CrossRefGoogle ScholarPubMed
Metcalfe, J., Vuorre, M., Towner, E., & Eich, T. S. (2022). Curiosity: The effects of feedback and confidence on the desire to know. Journal of Experimental Psychology: General. Advance online publication. https://doi.org/10.1037/xge0001284.CrossRefGoogle Scholar
Milner, B., Corkin, S., & Teuber, H. L. (1968). Further analysis of the hippocampal amnesic syndrome: 14-year follow-up study of HM. Neuropsychologia, 6(3), 215–234.CrossRefGoogle Scholar
Mishkin, M., & Petri, H. L. (1984). Memories and habits: Some implications for the analysis of learning and retention. In Squire, L. R and Butters, N (Eds.), Neuropsychology of memory (pp. 287–296). Guilford Press.Google Scholar
Möller, S., Perlov, C., Jackson, W., Taussig, C., & Forrest, S. R. (2003). A polymer/semiconductor write-once read-many-times memory. Nature, 426(6963): 166–169.CrossRefGoogle ScholarPubMed
Murayama, K. (2022). A reward-learning framework of knowledge acquisition: An integrated account of curiosity, interest, and intrinsic – extrinsic rewards. Psychological Review, 129(1), 175–198.CrossRefGoogle ScholarPubMed
O’Keefe, J., & Nadel, L. (1978). The hippocampus as a cognitive map. Oxford University Press.Google Scholar
Otmakhova, N. , Duzel, E. , Deutch, A.Y., Lisman, J. (2013). The hippocampal-VTA loop: The role of novelty and motivation in controlling the entry of information into long-term memory. In Baldassarre, G. and Mirolli, M. (Eds.) Intrinsically motivated learning in natural and artificial systems (pp. 235–254). Springer.CrossRefGoogle Scholar
Packard, M. G., Gadberry, T., & Goodman, J. (2021). Neural systems and the emotion-memory link. Neurobiology of Learning and Memory, 185, 107503.CrossRefGoogle ScholarPubMed
Pavlov, I. P. (1927). Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex. Oxford University Press.Google Scholar
Ranganath, C., & Rainer, G. (2003). Neural mechanisms for detecting and remembering novel events. Nature Reviews Neuroscience, 4(3), 193–202. https://doi.org/10.1038/nrn1052.CrossRefGoogle ScholarPubMed
Rosenbaum, R. S., Köhler, S., Schacter, D. L., et al. (2005). The case of KC: Contributions of a memory-impaired person to memory theory. Neuropsychologia, 43(7), 989–1021.CrossRefGoogle ScholarPubMed
Rosenbaum, R. S., Moscovitch, M., Foster, J. K., et al. (2008). Patterns of autobiographical memory loss in medial-temporal lobe amnesic patients. Journal of Cognitive Neuroscience, 20(8), 1490–1506.CrossRefGoogle ScholarPubMed
Salvi, C., Bricolo, E., Kounios, J., Bowden, E., & Beeman, M. (2016) Insight solutions are correct more often than analytic solutions. Thinking & Reasoning, 22(4), 443–460, https://doi.org/10.1080/13546783.2016.1141798.CrossRefGoogle ScholarPubMed
Salvi, C., Leiker, E. K., Baricca, B., et al., (2021). The effect of dopaminergic replacement therapy on creative thinking and insight problem-solving in Parkinson’s Disease patients. Frontiers in Psychology, 12, 1–15. https://doi.org/10.3389/fpsyg.2021.646448.CrossRefGoogle ScholarPubMed
Schacter, D. L. (1983). Amnesia observed: Remembering and forgetting in a natural environment. Journal of Abnormal Psychology, 92(2), 236–242.CrossRefGoogle Scholar
Schacter, D. L. (1992) Priming and multiple memory systems: Perceptual mechanisms of implicit memory. Journal of Cognitive Neuroscience, 4, 244–256.CrossRefGoogle ScholarPubMed
Schacter, D. L., Addis, D. R., & Buckner, R. L. (2007). Remembering the past to imagine the future: The prospective brain. Nature Reviews Neuroscience, 8(9), 657–661.CrossRefGoogle ScholarPubMed
Schwartz, B. L., & Cleary, A. M. (2016). Tip-of-the-tongue states, déjà vu and other metacognitive oddities. In Dunlosky, J. & Tauber, S. (Eds.), Oxford handbook of metamemory (pp. 95–108). Oxford University Press.Google Scholar
Schwartz, B. L., & Metcalfe, J. (2011). Tip-of-the-tongue (TOT) states: Retrieval, behavior, and experience. Memory & Cognition, 39, 737–749.CrossRefGoogle ScholarPubMed
Scoville, W. B., and Milner, B. (1957). Loss of recent memory after bilateral hippocampal lesions. Journal of Neurology, Neurosurgery, and Psychiatry, 20, 11–21.CrossRefGoogle ScholarPubMed
Shah, J. J., Smith, S. M., & Vargas-Hernandez, N. (2003). Metrics for measuring ideation effectiveness. Design Studies, 24(2), 111–134. https://doi.org/10.1016/S0142-694X(02)00034-0.CrossRefGoogle Scholar
Shen, E. Q.-L., Friedman, D., Bloom, P. A., & Metcalfe, J. (2022). Alpha suppression is associated with the tip-of-the-tongue (TOT) state whereas alpha expression is associated with knowing that one does not know. Journal of Intelligence, 10, 121–140. https://doi.org/10.3390/jintelligence10040121.CrossRefGoogle Scholar
Shen, W., Liu, Z., Ball, L., et al. (2020) Easy to remember, easy to forget? The memorability of creative advertisements. Creativity Research Journal, 32(3), 313–322.CrossRefGoogle Scholar
Shen, W., Tong, Y., Li, F., et al. (2018). Tracking the neurodynamics of insight: A meta-analysis of neuroimaging studies. Biological Psychology, 138, 189–198. https://doi.org/10.1016/j.biopsycho.2018.08.018.CrossRefGoogle Scholar
Shettleworth, S. J. (2012). Do animals have insight, and what is insight anyway? Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, 66(4), 217–222.CrossRefGoogle ScholarPubMed
Shohamy, D., Myers, C.E., Grossman, S., et al. (2004). Cortico-striatal contribution to feedback learning: Converging data from neuroimaging and neuropsychology. Brain 127(4), 851–859CrossRefGoogle ScholarPubMed
Smith, S. M. (1995). Fixation, incubation, and insight in memory and creative thinking. The Creative Cognition Approach, 135, 156–171.Google Scholar
Smith, S. M. & Blankenship, S. E. (1989). Incubation effects. Bulletin of the Psychonomic Society, 27(4), 311–314.CrossRefGoogle Scholar
Squire, L. R. (2004). Memory systems of the brain: A brief history and current perspective. Neurobiology of Learning and Memory, 82(3), 171–177.CrossRefGoogle Scholar
Subramaniam, K., Kounios, J., Parrish, T. B., & Jung-Beeman, M. (2009). A brain mechanism for facilitation of insight by positive affect. Journal of Cognitive Neuroscience, 21(3), 415–432. https://doi.org/10.1162/jocn.2009.21057.CrossRefGoogle ScholarPubMed
Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. MIT Press.Google Scholar
Tik, M., Sladky, R., Luft, C. D. B., et al. (2018). Ultra‐high‐field fMRI insights on insight: Neural correlates of the Aha! moment. Human Brain Mapping, 39(8), 3241–3252. https://doi.org/10.1002/hbm.24073.CrossRefGoogle ScholarPubMed
Tolman, E. C. (1932). Purposive behavior in animals and men. University of California Press.Google Scholar
Tolman, E. C., & Honzik, C. H. (1930). Introduction and removal of reward, and maze performance in rats. University of California Publications in Psychology, 4, 257–275.Google Scholar
Torrance, E. P. (1980). Growing up creatively gifted: The 22-year longitudinal study. The Creative Child and Adult Quarterly, 3, 148–158.Google Scholar
Tulving, E. (1972). Episodic and semantic memory. In Tulving, E. & Donaldson, W. (Eds.), Organization of memory (pp. 381–403). Academic Press.Google Scholar
Tulving, E. (1987). Multiple memory systems and consciousness. Human Neurobiology, 6, 67–80.Google ScholarPubMed
Tulving, E., Schacter, D. L., McLachlan, D. R., & Moscovitch, M. (1988). Priming of semantic autobiographical knowledge: A case study of retrograde amnesia, Brain and Cognition, 8, 3–20.CrossRefGoogle ScholarPubMed
Tulving, E., & Thomson, D.M., (1973). Encoding specificity and retrieval processes in episodic memory. Psychological Review, 80(3), 352–373.CrossRefGoogle Scholar
Wallas, G. (1926). The art of thought. J. Cape.Google Scholar
Warrington, E. K, & Weiskrantz, L. (1982). Amnesia: A disconnection syndrome? Neuropsychologia 20, 233–247.CrossRefGoogle ScholarPubMed
Webb, M. E., Laukkonen, R. E., Cropper, S. J., & Little, D. R. (2021). Commentary: Moment of (perceived) truth: Exploring accuracy of aha! experiences. The Journal of Creative Behavior, 55(2), 289–293.CrossRefGoogle Scholar
Zhan, H., Liu, C., & Shen, W. (2015). Neural basis of creative thinking during four stages. Advances in Psychological Science, 23(2), 213–224.CrossRefGoogle Scholar
Zola-Morgan, S., Squire, L. R., & Mishkin, M. (1982). The neuroanatomy of amnesia: Amygdala-hippocampus versus temporal stem. Science, 218(4579), 1337–1339.CrossRefGoogle ScholarPubMed

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