David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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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|
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References found in this work BETA
Lawrence W. Barsalou, W. Kyle Simmons, Aron K. Barbey & Christine D. Wilson (2003). Grounding Conceptual Knowledge in Modality-Specific Systems. Trends in Cognitive Sciences 7 (2):84-91.
Sanjay Chandrasekharan (2009). Building to Discover: A Common Coding Model. Cognitive Science 33 (6):1059-1086.
Paul M. Churchland (1989). A Neurocomputational Perspective: The Nature of Mind and the Structure of Science. MIT Press.
Fintan J. Costello & Mark T. Keane (2000). Efficient Creativity: Constraint‐Guided Conceptual Combination. Cognitive Science 24 (2):299-349.
Citations of this work BETA
Paul Thagard (2012). Nihilism, Skepticism, and Philosophical Method: A Response to Landau on Coherence and the Meaning of Life. Philosophical Psychology 26 (4):619-621.
Michael Gibbert, James A. Hampton, Zachary Estes & David Mazursky (2012). The Curious Case of the Refrigerator–TV: Similarity and Hybridization. Cognitive Science 36 (6):992-1018.
Yiftach Fehige & Michael T. Stuart (2014). On the Origins of the Philosophy of Thought Experiments: The Forerun. Perspectives on Science 22 (2):179-220.
Michael T. Stuart (2014). Cognitive Science and Thought Experiments: A Refutation of Paul Thagard's Skepticism. Perspectives on Science 22 (2):264-287.
Paul Thagard (2013). Thought Experiments Considered Harmful. Perspectives on Science 22 (2):122-139.
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