Cognitive Science 35 (1):1-33 (2011)
Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural patterns into ones that are potentially novel and useful. We defend the hypothesis that such combinations arise from mechanisms that bind together neural activity by a process of convolution, a mathematical operation that interweaves structures. We describe computer simulations that show the feasibility of using convolution to produce emergent patterns of neural activity that can support cognitive and emotional processes underlying human creativity
|Keywords||Representation Binding Creativity Emotion Neural engineering framework Neural networks Conceptual combination Neurocomputation Convolution|
|Categories||categorize this paper)|
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Citations of this work BETA
Intention, Emotion, and Action: A Neural Theory Based on Semantic Pointers.Tobias Schröder, Terrence C. Stewart & Paul Thagard - 2014 - Cognitive Science 38 (5):851-880.
Two Theories of Consciousness: Semantic Pointer Competition Vs. Information Integration.Paul Thagard & Terrence C. Stewart - 2014 - Consciousness and Cognition 30:73-90.
Cognitive Science and Thought Experiments: A Refutation of Paul Thagard's Skepticism.Michael T. Stuart - 2014 - Perspectives on Science 22 (2):264-287.
Abstraction and Insight: Building Better Conceptual Systems to Support More Effective Social Change.Steven E. Wallis - 2014 - Foundations of Science 19 (4):353-362.
The Self as a System of Multilevel Interacting Mechanisms.Paul Thagard - 2012 - Philosophical Psychology (2):1-19.
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