Cogprints

Cognitive mechanisms underlying the creative process

Gabora, Liane (2002) Cognitive mechanisms underlying the creative process. [Conference Paper]

Full text available as:

[img]HTML
45Kb

Abstract

This paper proposes an explanation of the cognitive change that occurs as the creative process proceeds. During the initial, intuitive phase, each thought activates, and potentially retrieves information from, a large region containing many memory locations. Because of the distributed, content-addressable structure of memory, the diverse contents of these many locations merge to generate the next thought. Novel associations often result. As one focuses on an idea, the region searched and retrieved from narrows, such that the next thought is the product of fewer memory locations. This enables a shift from association-based to causation-based thinking, which facilitates the fine-tuning and manifestation of the creative work.

Item Type:Conference Paper
Keywords:Associative hierarchy, bisociation, brainstorm, concepts, conjunction, context, creativity, defocused attention, distributed representation, emergent features, evaluation, focus, generativity, idea, impossibilist creativity, intuition, variable focus.
Subjects:Psychology > Cognitive Psychology
Computer Science > Neural Nets
Computer Science > Artificial Intelligence
Neuroscience > Behavioral Neuroscience
ID Code:2546
Deposited By:Gabora, Dr. Liane
Deposited On:22 Oct 2002
Last Modified:11 Mar 2011 08:55

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

1. Abeles, M. & Bergman, H. Spatiotemporal firing patterns in the frontal cortex of behaving monkeys. Journal of Neurophysiology 70 , 4 (1993), 1629-1638.

2. Barron, F. Creativity and Psychological Health, Van Nostrand, 1963.

3. Boden, M. The Creative Mind: Myths and Mechanisms. Weidenfeld & Nicolson. Revised edition, Cardinal, 1990/1992.

4. Bowers, K.S. & Keeling, K.R. Heart-rate variability in creative functioning. PsychologicalReports 29 (1971), 160-162.

5. Campbell, D. Evolutionary Epistomology. In Evolutionary Epistomology, Rationality, and the Sociology of Knowledge, eds. G. Radnitzky &. W.W. Bartley III, Open Court, LaSalle IL, 1987.

6. Campbell, F.W. & Robson, J.G. Application of Fourier analysis to the visibility of gratings. Journal of Physiology, 197 (1968), 551-566.

7. Cariani, P. As if time really mattered: temporal strategies for neural coding of sensory information. In Origins: Brain and self-organization , ed. K. Pribram. Erlbaum, Hillsdale NJ, 1995, 161-229.

8. Cariani, P. Temporal coding of sensory information. In Computational neuroscience: Trends in research 1997, ed. J.M. Bower. Plenum, Dordrecht, Netherlands, 1997, 591-598.

9. Dartnell, T. Artificial intelligence and creativity: An introduction. Artificial Intelligence and the Simulation of Intelligence Quarterly 85 (1993).

10. Dennett, D. Brainstorms: Philosophical Essays on Mind and Psychology , Harvester Press, 1978.

11. De Valois, R.L. & De Valois, K.K. Spatial Vision. Oxford University Press, Oxford UK, 1988.

12. Dewing, K. & Battye, G. Attentional deployment and non-verbal fluency. Journal of Personality and Social Psychology 17 (1971), 214-218.

13. Dykes, M. & McGhie, A. A comparative study of attentional strategies in schizophrenics and highly creative normal subjects. British Journal of Psychiatry 128 (1976), 50-56.

14. Emmers, R. Pain: A Spike-Interval Coded Message in the Brain. Raven Press, Philadelphia PA, 1981.

15. Eysenck, H.J. Genius: The Natural History of Creativity, Cambridge University Press, Cambridge UK, 1995.

16. Feist, G.J. The influence of personality on artistic and scientific creativity. In: Handbook of Creativity, ed. R. J. Sternberg, Cambridge University Press, Cambridge UK (1999), 273-296.

17. Feldman, J.A. & Ballard, D.H. Connectionist models and their properties. Cognitive Science 6 (1982), 205-254.

18. Fodor, E.M. Subclinical manifestations of psychosis-proneness, ego-strength, and creativity. Personality and Individual Differences 18 (1995), 635-642.

19. Gabora, L. The beer can theory of creativity. In Creative Evolutionary Systems, eds. P. Bentley & D. Corne, Morgan Kauffman (2002), 147-161. Available at http://cogprints.soton.ac.uk/documents/disk0/00/00/09/76/

20. Gabora, L. Toward a theory of creative inklings. In (R. Ascott, Ed.) Art, Technology, and Consciousness, Intellect Press (2000), 159-164. Available at http://cogprints.soton.ac.uk/documents/disk0/00/00/08/56/

21. Gabora, L. & Aerts, D. Contextualizing concepts. Proceedings of the 15th International FLAIRS Conference (Pensacola Florida, May 2002), American Association for Artificial Intelligence, 148-152.

22. Gabora, L. & Aerts, D. Contextualizing concepts using a mathematical generalization of the quantum formalism. Journal of Experimental and Theoretical Artificial Intelliegence, to appear in special issue on concepts and categories (2002). http://www.vub.ac.be/CLEA/liane/papers/jetai.pdf

23. Hadamard, J. The Psychology of Invention in the Mathematical Field . Princeton University Press, Princeton NJ, 1949.

24. Hancock, P.J.B., Smith, L.S. & Phillips, W.A. A biologically supported error-correcting learning rule. Neural Computation 3, 2 (1991), 201-212.

25. Hebb, D.O. The Organization of Behavior. Wiley, 1949.

26. Hinton, G., McClelland, J.L. & Rummelhart, D.E. Distributed representations. In Parallel distributed processing: Explorations in the microstructure of cognition, eds. Rummelhart, D. E. & J. L. McClelland. MIT Press, Cambridge MA, 1986.

27. Holden, S.B. & Niranjan, M. Average-case learning curves for radial basis function networks. Neural Computation 9, 2 (1997), 441-460.

28. Hopfield, J.J. Neural networks and physical systems with emergent collective computational abilities', Proceedings of the National Academy of Sciences 79 (1982), 2554-2558.

29. Hopfield, J.J., Feinstein, D.L. & Palmer, R.G. "Unlearning" has a stabilizing effect in collective memories. Nature 304 (1983), 158-159.

30. James, W. The Principles of Psychology. Dover, New York, 1890/1950.

31. Johnson-Laird, P.N. Mental Models. Harvard University Press, Cambridge MA, 1983.

32. Kanerva, P. Sparse Distributed Memory, MIT Press, Cambridge MA, 1988.

33. Koestler, A. The Act of Creation. Macmillan, 1964.

34. Lestienne, R. Determination of the precision of spike timing in the visual cortex of anesthetized cats. Biology and Cybernetics 74 (1996), 55-61.

35. Lestienne, R. amd Strehler, B.L. Time structure and stimulus dependence of precise replicating patterns present in monkey cortical neuron spike trains. Neuroscience (April 1987).

36. Lu, Y.W., Sundararajan, N. & Saratchandran, P. A sequential learning scheme for function approximation using minimal radial basis function neural networks. Neural Computation 9, 2 (1997) 461-478.

37. Marr, D. A theory of the cerebellar cortex. Journal of Physiology , 202 (1969), 437-470.

38. Martindale, C. Creativity, consciousness, and cortical arousal. Journal of Altered States of Consciousness 3 (1977), 69-87.

39. Martindale, C. Biological bases of creativity. In Handbook of Creativity , ed. R. J. Sternberg, Cambridge University Press, Cambridge UK (1999), 137-152.

40. Martindale, C. & Armstrong, J. The relationship of creativity to cortical activation and its operant control. Journal of Genetic Psychology 124 (1974), 311-320.

41. Martindale, C. & Hasenfus, N. EEG differences as a function of creativity, stage of the creative process, and effort to be original. Biological Psychology 6 (1978), 157-167.

42. Mednick, S.A. The associative basis of the creative process. Psychological Review 69 (1962), 220-232.

43. Mendelsohn, G.A. Associative and attentional processes in creative performance. Journal of Personality 44 (1976), 341-369.

44. Metzinger, T. Faster than thought: Holism, homogeneity, and temporal coding. In Conscious Experience, ed. T. Metzinger. Schoningh/Academic Imprint, Thorverton U.K., 1995.

45. Mountcastle, V. Temporal order determinants in a somatosthetic frequency discrimination: Sequential order coding. Annals of the New York Academy of Science 682 (1993), 151-170.

46. Neisser, U. The multiplicity of thought. British Journal of Psychology 54 (1963), 1-14.

47. Palm, G. On associative memory. Biological Cybernetics 36 (1980), 19-31.

48. Perkell, D.H. & Bullock, T.H. Neural coding. Neurosciences Research Program Bulletin 6, 3 (1968), 221-348.

49. Piaget, J. The Language and Thought of the Child. Routledge & Kegan Paul, London, 1926.

50. Poincare, H. The Foundations of Science. Science Press, Lancaster PA, 1913.

51. Pribram, K.H. Brain and Perception: Holonomy and Structure in Figureal Processing. Erlbaum, Hillsdale NJ, 1991.

52. Richards, R.L., Kinney, D.K., Lunde, I., Benet, M., & Merzel, A. Creativity in manic depressives, cyclothymes, their normal relatives, and control subjects. Journal of Abnormal Psychology 97 (1988), 281-289.

53. Riecke, F. & Warland, D. Spikes: Exploring the Neural Code . MIT Press, Cambridge, MA, 1997.

54. Rips, L.J. Necessity and natural categories. Psychological Bulletin 127, 6 (2001) 827-852.

55. Russ, S.W. Affect and Creativity. Erlbaum, Hillsdale NJ, 1993.

56. Sloman, S. The empirical case for two systems of Reasoning. Psychological Bulletin 9, 1 (1996), 3-22.

57. Smith, G.J.W. & Van de Meer, G. Creativity through psychosomatics. Creativity Research Journal 7 (1994), 159-170.

58. Stumpf, C. Drug action on the electrical activity of the hippocampus. International Review of Neurobiology 8 (1965), 77-138.

59. Von der Malsburg, C. Am I thinking assemblies? In Proceedings of the 1984 Trieste Meeting on Brain Theory, ed. G. Palm & A. Aertsen. Springer-Verlag, Berlin, 1986.

60. Wallas, G. The Art of Thought. Harcourt, Brace & World, New York, 1926.

61. Weisberg, R. Creativity: Genius and Other Myths. Freeman Press, New York, 1986.

62. Willshaw, D.J. Holography, associative memory, and inductive generalization. In Parallel Models of Associative Memory, eds. G.E. Hinton & J.A. Anderson, Lawrence Earlbaum Associates (1981), 83-104.

63. Willshaw, D. J. & Dayan, P. Optimal plasticity from matrix memory: What goes up must come down. Journal of Neural Computation 2 (1990), 85-93.

Metadata

Repository Staff Only: item control page