David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
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)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
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.
Similar books and articles
Gualtiero Piccinini (2008). Some Neural Networks Compute, Others Don't. Neural Networks 21 (2-3):311-321.
Denis Mareschal & Thomas R. Shultz (1997). From Neural Constructivism to Children's Cognitive Development: Bridging the Gap. Behavioral and Brain Sciences 20 (4):571-572.
Enrico Blanzieri (1997). Dynamical Learning Algorithms for Neural Networks and Neural Constructivism. Behavioral and Brain Sciences 20 (4):559-559.
Roman Borisyuk, Galina Borisyuk & Yakov Kazanovich (1998). Synchronization of Neural Activity and Information Processing. Behavioral and Brain Sciences 21 (6):833-833.
Dan Hunter (1999). Out of Their Minds: Legal Theory in Neural Networks. [REVIEW] Artificial Intelligence and Law 7 (2-3):129-151.
Geraint Rees & Chris Frith (2001). Neural Correlates of Consciousness Are Not Pictorial Representations. Behavioral and Brain Sciences 24 (5):999-1000.
Susan L. Hurley (2007). Neural Dominance, Neural Deference, and Sensorimotor Dynamics. In M. Velmans (ed.), Encyclopedia of Consciousness. Blackwell. 640--656.
Philip Lawton (1993). Art, Science, and the Clear Blue Sky. International Studies in the Philosophy of Science 7 (2):107 – 119.
Bence Nanay (2014). An Experiential Account of Creativity. In Elliot Paul & Scott Barry Kaufman (eds.), The Philosophy of Creativity. Oxford University Press.
S. A. Helekar (1999). On the Possibility of Universal Neural Coding of Subjective Experience. Consciousness and Cognition 8 (4):423-446.
Aarre Laakso & Garrison W. Cottrell (2000). Content and Cluster Analysis: Assessing Representational Similarity in Neural Systems. Philosophical Psychology 13 (1):47-76.
James A. Reggia & Alexander Grushin (2005). Population Lateralization Arises in Simulated Evolution of Non-Interacting Neural Networks. Behavioral and Brain Sciences 28 (4):609-611.
Added to index2010-10-13
Total downloads50 ( #30,880 of 1,096,630 )
Recent downloads (6 months)12 ( #12,834 of 1,096,630 )
How can I increase my downloads?