Skip to main content
Article thumbnail
Location of Repository

Creativity and the Brain

By Wlodzislaw Duch

Abstract

Neurocognitive approach to higher cognitive functions that bridges the gap between psychological and neural level of description is introduced. Relevant facts about the brain, working memory and representation of symbols in the brain are summarized. Putative brain processes responsible for problem solving, intuition, skill learning and automatization are described. The role of non-dominant brain hemisphere in solving problems requiring insight is conjectured. Two factors seem to be essential for creativity: imagination constrained by experience, and filtering that selects most interesting solutions. Experiments with paired words association are analyzed in details and evidence for stochastic resonance effects is found. Brain activity in the process of invention of novel words is proposed as the simplest way to understand creativity using experimental and computational means. Perspectives on computational models of creativity are discussed

Topics: Neurolinguistics, Language, Artificial Intelligence
Publisher: World Scientific Publishing
Year: 2007
OAI identifier: oai:cogprints.org:7300
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://cogprints.org/7300/1/06... (external link)
  • http://cogprints.org/7300/ (external link)
  • Suggested articles

    Citations

    1. (1988). A cognitive theory of consciousness.
    2. (1994). A Dynamic Systems Approach to the Development of Cognition and Action.
    3. (2005). Action selection in a macroscopic model of the brainstem reticular formation. In
    4. (2001). Brain reflections of words and their meaning.
    5. (2005). Brain-inspired conscious computing architecture.
    6. (1996). Categorization, Prototype Theory and Neural Dynamics.
    7. (2004). Computational intelligence methods for understanding of data. doi
    8. (1995). Dynamic Patterns. The Self-Organization of Brain and Behavior. Complex Adaptive Systems series, A Bradford Book,
    9. (1994). Eds. A Dynamic Systems Approach to the Development.
    10. (2005). Eds. Encyclopedia of creativity, vol 1-2, Elsevier,
    11. (2003). Encoding Predictive Reward Value in
    12. (1995). Feature Space Mapping as a universal adaptive system. doi
    13. (2004). Fuzzy rule-based systems derived from similarity to prototypes.
    14. (2002). Is Working Memory Still Working?
    15. (2004). Mechanisms of theory formation in young children.
    16. (2000). Multiple reward signals in the brain.
    17. (2005). Neural measures reveal individual differences in controlling access to working memory.
    18. (1997). Platonic model of mind as an approximation to neurodynamics. In: Brain-like computing and intelligent information systems,
    19. (1993). Precise of Metapsychology: Missing Links
    20. (2005). Satisfaction: The Science of Finding True Fulfillment. Henry Holt and Co,
    21. (2000). The Mind’s Past,
    22. (2003). The Neuroscience of Language. On Brain Circuits of Words and Serial Order.
    23. (2005). The relationship between executive functioning and verbal and visual learning and memory.
    24. (1997). Words, Thoughts and Theories,
    25. (2005). Working memory capacity.

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.