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Cognitive Computation
Erschienen in: Cognitive Computation 3/2012

01.09.2012

The Drive for Creativity and the Escape from Creativity: Neurocognitive Mechanisms

verfasst von: Leonid I. Perlovsky, Daniel S. Levine

Erschienen in: Cognitive Computation | Ausgabe 3/2012

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Abstract

We discuss cognitive bases for creative versus non-creative knowledge acquisition and suggest neural substrates for these processes. Cognitive mechanisms driving the human mind both toward and away from creativity are related to ancient mechanisms of adaptive behavior. A paradoxical role of language is discussed: on the one hand, language makes higher cognition possible; on the other, language enables heuristic thinking, using millennial truths instead of original creative thinking. Creativity requires overcoming cognitive dissonances and choosing task relevance over salience. Functions of conceptual, emotional, conscious, and unconscious mechanisms are analyzed and related to various brain regions. Future research directions are discussed.
Vorheriger Artikel Connotation in Computational Creativity
Nächster Artikel The Mind’s Chorus: Creativity Before Consciousness

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Literatur
1.
Arbib MA. From monkey-like action recognition to human language: an evolutionary framework for neurolinguistics. Behav Brain Sci. 2005;28:105–67.PubMed
2.
Ashby FG, Isen AM, Turken AU. A neuropsychological theory of positive affect and its influence on cognition. Psychol Rev. 1999;106:529–50.PubMedCrossRef
3.
Baas M, De Dreu CKW, Nijstad BA. A meta-analysis of 25 years of research on mood and creativity: hedonic tone, activation, or regulatory focus? Psychol Bull. 2008;134:739–56.CrossRef
4.
Bar M, Kassam KS, Ghuman AS, Boshyan J, Schmid AM, Dale AM, et al. Top-down facilitation of visual recognition. Proc Natl Acad Sci USA. 2006;103:449–54.PubMedCrossRef
5.
Bar M. The proactive brain: using analogies and associations to generate predictions. Trends Cogn Sci. 2007;11:281–9.
6.
Barbano M, Cador M. Opioids for hedonic experience and dopamine to get ready for it. Psychopharmacology. 2007;191:497–506.PubMedCrossRef
7.
Bartoshuk LM. Personal communication to author LIP. 2010.
8.
Berridge KC. The debate over dopamine’s role in reward: the case for incentive salience. Psychopharmacology. 2007;191:391–431.PubMedCrossRef
9.
Brown JW, Braver TS. Learned predictions of error likelihood in the anterior cingulate cortex. Science. 2005;307:1118–21.PubMedCrossRef
10.
Brown S, Martinez MJ, Parsons LM. Music and language side by side in the brain: a PET study of the generation of melodies and sentences. Eur J Neurosci. 2006;23:2791–803.PubMedCrossRef
11.
Bunge SA. How we use rules to select actions: a review of evidence from cognitive neuroscience. Cogn Affect Behav Neurosci. 2004;4:564–79.PubMedCrossRef
12.
Carpenter GA, Grossberg S. A massively parallel architecture for a self-organizing neural pattern recognition machine. Comput Vis Graph Image Process. 1987;37:54–115.CrossRef
13.
Chalmers DJ. Consciousness and its place in nature. In: Chalmers DJ, editor. The character of consciousness (Ch. 5). New York: Oxford University Press; 2010.CrossRef
14.
Chomsky N. Language and mind. New York: Harcourt Brace Jovanovich; 1972.
15.
Cloninger CR. A new conceptual paradigm from genetics and psychobiology for the science of mental health. Aust N Z J Psychiatry. 1999;33:174–86.PubMedCrossRef
16.
Deacon T. The neural circuitry underlying primate calls and human language. Hum Evol J. 1989;4(5):367–401.
17.
DeMartino B, Kumaran D, Seymour B, Dolan R. Frames, biases, and rational decision-making in the human brain. Science. 2006;313:684–7.CrossRef
18.
Denes-Raj V, Epstein S. Conflict between intuitive and rational processing: when people behave against their better judgment. J Pers Soc Psychol. 1994;66:819–29.PubMedCrossRef
19.
Farb NA, Anderson AK, Mayberg H, Bean J, McKeon D, Segal ZV. Minding one’s emotions: mindfulness training alters the neural expression of sadness. Emotion. 2010;10:25–33.PubMedCrossRef
20.
Fontanari JF, Perlovsky LI. How language can help discrimination in the neural modeling fields framework. Neural Netw. 2008;21:250–6.PubMedCrossRef
21.
22.
Fontanari FJ, Tikhanoff V, Cangelosi A, Ilin R, Perlovsky LI. Cross-situational learning of object-word mapping using neural modeling fields. Neural Netw. 2009;22:579–85.PubMedCrossRef
23.
Gable P, Harmon-Jones E. The motivational dimensional model of affect: implications for breadth of attention, memory, and cognitive categorization. Cogn Emot. 2010;24:322–37.CrossRef
24.
Grossberg S. A neural theory of punishment and avoidance: qualitative theory. Math Biosci. 1972;15:39–67.CrossRef
25.
26.
Grossberg S, Levine DS. Neural dynamics of attentionally modulated Pavlovian conditioning: blocking, interstimulus interval, and secondary reinforcement. Appl Opt. 1987;26:5015–30.PubMedCrossRef
27.
Harmon-Jones E. From cognitive dissonance to the motivational functions of emotions. In: Wright RA, Greenberg J, Brehm SS, editors. Motivational analyses of social behavior: building on Jack Brehm’s contributions to psychology. Mahwah: Lawrence Erlbaum Associates; 2004. p. 39–55.
28.
Herbert C, Herbert BM, Pauli P. Emotional self-reference: brain structures involved in the processing of words describing one’s own emotions. Neuropsychologia. 2011;49:2947–56.PubMedCrossRef
29.
Iyer LR, Doboli S, Minai AA, Brown VR, Levine DS, Paulus PB. Neural dynamics of idea generation and the effects of priming. Neural Netw. 2009;22:674–86.PubMedCrossRef
30.
Jackendoff RS. Word meanings and what it takes to learn them: Reflections on the Piaget-Chomsky debate. In: Jackendoff RS, editor. Languages of the mind: Essays on mental representation (Ch. 3). MA: MIT Press; 1992.
31.
Kosslyn SM. Image and mind. Cambridge: Harvard University Press; 1980.
32.
Levens SM, Phelps EA. Emotion processing effects on interference resolution in working memory. Emotion. 2008;8:267–80.PubMedCrossRef
33.
Levine DS. Introduction to neural and cognitive modeling. 2nd ed. Mahwah: Lawrence Erlbaum Associates; 2000.
34.
Levine DS. Angels, devils, and censors in the brain. ComPlexus. 2005;2:35–59.CrossRef
35.
Levine DS. Value maps, drives, and emotions. In: Cutsuridis V, Taylor JG, Polani D, Hussain A, Tishby N, editors. Perception-reason-action cycle: models, algorithms, and systems. Berlin: Springer; 2011. p. 135–68.
36.
37.
Levine DS. I think therefore I feel: neural mechanisms for knowledge-based pleasure. To appear in World Congress on Computational Intelligence 2012. Brisbane, Australia; 2012.
38.
Levine DS, Perlovsky LI. Neuroscientific insights on biblical myths: simplifying heuristics versus careful thinking: scientific analysis of millennial spiritual issues. Zygon, J Sci Relig. 2008;43:797–821.CrossRef
39.
Lieberman P. Human Language and our reptilian brain: the subcortical bases of speech, syntax, and thought. Cambridge: Harvard University Press; 2000.
40.
Luu P, Collins P, Tucker DM. Mood, personality, and self-monitoring: negative affect and emotionality in relation to frontal lobe mechanisms of error monitoring. J Exp Psychol Gen. 2000;129:43–60.PubMedCrossRef
41.
42.
Maslow AH. Toward a psychology of being. New York: Van Nostrand; 1968.
43.
44.
Mayer JD, Salovey P, Caruso DR, Sitarenios G. Emotional intelligence as a standard intelligence. Emotion. 2001;1:232–42.PubMedCrossRef
45.
Menon V, Uddin LQ. Saliency, switching, attention, and control: a network model of insula function. Brain Struct Funct. 2010;214:655–67.PubMedCrossRef
46.
Milne E, Grafman J. Ventromedial prefrontal cortex lesions in humans eliminate implicit gender stereotyping. J Neurosci (Special Issue). 2001;21(12):1–6.
47.
Mitchell DGV. The nexus between decision making and emotion regulation: a review of convergent neurocognitive substrates. Behav Brain Res. 2011;217:215–31.PubMedCrossRef
48.
Moran JM, Macrae CN, Heatherton TF, Wyland CL, Kelley WM. Neuroanatomical evidence for distinct cognitive and affective components of self. J Cogn Neurosci. 2006;18:1586–94.PubMedCrossRef
49.
Paulus PB, Levine DS, Brown VR, Minai AA, Doboli S. Modeling ideational creativity in groups: connecting cognitive, neural, and computational approaches. Small Group Res. 2010;41:688–724.CrossRef
50.
Payne JW. Task complexity and contingent processing in decision making: an information search and protocol analysis. Organ Behav Hum Perform. 1976;16:366–87.CrossRef
51.
Perlovsky LI. Computational concepts in classification: neural networks, statistical pattern recognition, and model based vision. J Math Imaging Vis. 1994;4:81–110.CrossRef
52.
Perlovsky LI. Gödel theorem and semiotics. Proceedings of the conference on intelligent systems and semiotics ‘96. Vol 2 Gaithersburg, MD; 1996. p. 14–8.
53.
Perlovsky LI. Physical concepts of intellect. Proc Russian Acad Sci. 1997;354:320–3.
54.
Perlovsky LI. Conundrum of combinatorial complexity. IEEE Trans Pattern Anal Mach Intell. 1998;20:666–70.CrossRef
55.
Perlovsky LI. Neural networks and intellect: using model based concepts. New York: Oxford University Press; 2001.
56.
Perlovsky LI. Physical theory of information processing in the mind: concepts and emotions. Seed (OnLine Journal). 2002;2(2):36–54.
57.
Perlovsky LI. Integrating language and cognition. IEEE Connect Featur Artic. 2004;2(2):8–12.
58.
Perlovsky LI. Evolving agents: communication and cognition. In: Gorodetsky V, Liu J, Skormin VA, editors. Autonomous intelligent systems: Agents and data mining. Berlin: Springer; 2005. p. 37–49.CrossRef
59.
Perlovsky LI. Evolution of consciousness and music. Zvezda, St. Petersburg (Russian), 2005;8:192–223.
60.
Perlovsky LI. Toward physics of the mind: concepts, emotions, consciousness, and symbols. Phys Life Rev. 2006;3:22–55.CrossRef
61.
Perlovsky LI. Fuzzy dynamic logic. New Math Nat Comput. 2006;2(1):43–55.CrossRef
62.
Perlovsky LI. Evolution of languages, consciousness, and cultures. IEEE Comput Intell Mag. 2007;2(3):25–39.CrossRef
63.
Perlovsky LI. The mind versus logic: Aristotle and Zadeh. Society for Mathematics of Uncertainty. Crit Rev. 2007;1(1):30–3.
64.
Perlovsky LI. Modeling Field Theory of higher cognitive functions. In: Loula A, Gudwin R, Queiroz J, editors. Artificial cognition systems. Hershey: Idea Group; 2007. p. 64–105.
65.
Perlovsky LI. Symbols: Integrated cognition and language. In: Loula A, Gudwin R, Queiroz J, editors. Artificial cognition systems. Hershey: Idea Group; 2007. p. 121–51.
66.
Perlovsky LI. Neural networks, fuzzy models and dynamic logic. In: Köhler R, Mehler A, editors. Aspects of automatic text analysis (Festschrift in honor of Burghard Rieger). Heidelberg: Springer; 2007. p. 363–86.
67.
Perlovsky LI. Sapience, consciousness, and the knowledge instinct. (Prolegomena to a physical theory). In: Mayorga R, Perlovsky LI, editors. Sapient systems. London: Springer; 2008.
68.
69.
Perlovsky LI. Language and emotions: emotional Sapir-Whorf hypothesis. Neural Netw. 2009;22:518–26.PubMedCrossRef
70.
Perlovsky LI. ‘Vague-to-crisp’ neural mechanism of perception. IEEE Trans Neural Netw. 2009;20:1363–7.PubMedCrossRef
71.
72.
Perlovsky LI. Intersections of mathematical, cognitive, and aesthetic theories of mind. Psychol Aesthet Creat Art. 2010;4:11–7.CrossRef
73.
Perlovsky LI. The mind is not a kludge. Skeptic. 2010;15:50–5.
74.
Perlovsky LI. Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI. IEEE Trans Neural Netw. 2010;21:718–33.PubMedCrossRef
75.
Perlovsky LI. Joint acquisition of language and cognition. WebmedCentral Brain, 2010;1(10):WMC00994.
76.
Perlovsky LI. Science and religion: Scientific understanding of emotions of religiously sublime. arXive. 2010.
77.
Perlovsky LI. Music. Cognitive function, origin, and evolution of musical emotions. Webmedcentral Psychology 2011;2(2):WMC001494.
78.
79.
Perlovsky LI. Cognitive function of music. Interdiscip Sci Rev 2012;37(2):129–42.
80.
Perlovsky LI, Bonniot-Cabanac MC, Cabanac M. Curiosity and pleasure. Webmedcentral Psychology, 2010;1(12): WMC001275.
81.
82.
Perlovsky LI, Ilin R. Grounded symbols in the brain, computational foundations for perceptual symbol system. Webmedcentral Psychology 2010;1(12):WMC001357.
83.
Perlovsky LI, Kozma R. Editorial—Neurodynamics of cognition and consciousness. In: Perlovsky LI, Kozma R, editors. Neurodynamics of cognition and consciousness. Heidelberg: Springer; 2007. p. 1–8.CrossRef
84.
Perlovsky LI, Levine DS. The drive for creativity. International joint conference on neural netw (IJCNN 2010). Barcelona, 2010; p. 1665–70.
85.
Perlovsky LI, Mayorga R. Preface. In: Mayorga R, Perlovsky LI, editors. Sapient systems. London: Springer; 2008.
86.
Perlovsky LI, McManus MM. Maximum likelihood neural networks for sensor fusion and adaptive classification. Neural Netw. 1991;4:89–102.CrossRef
87.
Phelps EA. Interaction of emotion and cognition. In: Barrett LE, Niedenthal PM, Winkielman P, editors. Emotion and consciousness. New York: Guilford Press; 2005.
88.
Piaget J. Genetic epistemology. New York: Columbia University Press; 1970.
89.
Powell LJ, Macrae CN, Cloutier J, Metcalfe J, Mitchell JP. Dissociable neural substrates for agentic versus conceptual representations of self. J Cogn Neurosci. 2010;22:2186–97.PubMedCrossRef
90.
Reyna VF, Brainerd CJ. Numeracy, ratio bias, and denominator neglect in judgments of risk and probability. Learn Individ Diff. 2008;18:89–107.CrossRef
91.
Reyna VF, Lloyd FJ, Brainerd CJ. Memory, development, and rationality: an integrative theory of judgment and decision making. In: Schneider S, Shanteau J, editors. Emerging perspectives on judgment and decision making. New York: Cambridge University Press; 2003. p. 201–45.CrossRef
92.
Rottenstreich Y, Hsee C. Money, kisses, and electric shocks: on the affective psychology of risk. Psych. Sci. 2001;12:185–90.
93.
Schacter DL, Addis DR. The ghosts of past and future. Nature. 2007;445(27):2007.
94.
Sterzer B, Kleinschmidt A. Anterior insula activations in perceptual paradigms: often observed but barely understood. Brain Struct. Funct. 2010;214:611–22.
95.
Seeley WW, Menon V, Schatzberg AF, Keller J, Glover GH, Kenna H, Reiss AL, Greicius MD. Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci. 2007;27:2349–65.PubMedCrossRef
96.
Tikhanoff V, Fontanari JF, Cangelosi A, Perlovsky LI. Language and cognition integration through modeling field theory: category formation for symbol grounding. In: Computer science, v. 4131. Springer: Heidelberg. 2006.
97.
Tversky A, Kahneman D. Judgment under uncertainty: heuristics and biases. Science. 1974;185:1124–31.PubMedCrossRef
98.
Tversky A, Kahneman D. The framing of decisions and the rationality of choice. Science. 1981;211:453–8.PubMedCrossRef
99.
White, RW. Motivation reconsidered: the concept of competence. Psychol Rev. 1959;297–333.
100.
Yue X, Vessel EA, Biederman I. The neural basis of scene preferences. NeuroReport. 2007;18:525–9.PubMedCrossRef
Metadaten
Titel
The Drive for Creativity and the Escape from Creativity: Neurocognitive Mechanisms
verfasst von
Leonid I. Perlovsky
Daniel S. Levine
Publikationsdatum
01.09.2012
Verlag
Springer-Verlag
Erschienen in
Cognitive Computation / Ausgabe 3/2012
Print ISSN: 1866-9956
Elektronische ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-012-9154-3

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