A dynamical connectionist model of idea generation

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 2109-2116

  Minai, Ali A ^a   Iyer, Laxmi R ^b   Padur, Divyachapan ^a   Doboli, Simona ^c  

^a University of Cincinnati   (United States)

^b UNIVERSITY OF CINCINNATI   (United States)

^c HOFSTRA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BASAL GANGLIA; COGNITIVE DIVERSITY; COMPLEX DYNAMICS; COMPUTATIONAL MODEL; CONCEPTUAL COMBINATION; CONNECTIONIST MODELS; IDEA GENERATION; MULTI-AGENT; POTENTIAL BENEFITS; PREFRONTAL CORTEX; REWARD SYSTEMS; SEMANTIC LEVELS; SEMANTIC REPRESENTATION; WORKING MEMORIES;

NEURAL NETWORKS; REINFORCEMENT;

SEMANTICS;

EID: 70449434710     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178932     Document Type: Conference Paper

References (56)

1. J. P. Guilford, The Nature of Human Intelligence, New York: McGraw-Hill, 1967.
2. A. Martin, "The representation of object concepts in the brain, " Ann. Rev. of Psychol., vol. 58, pp. 25-45.
3. E. K. Warrington and T. Shallice, "Category-specific semantic impairment, " Brain, vol. 107, pp. 829-854, 1984.
4. A. R. Damasio (1989) The brain binds entities and events by multiregional activations from convergence zones, " Neural Computation, vol. 1, pp. 123-132, 1989.
5. H. Damasio et al. (1996) A neural basis for lexical retrieval. Nature, 380, 499-505.
6. A. Martin, C. L. Wiggs, L. G. Ungerleider, and J. V. Haxby, "Neural correlates of category-specific knowledge, " Nature, vol. 379, pp. 649-652, 1996.
7. D. Tranel, H. Damasio and A. R. Damasio, " A neural basis for the retrieval of conceptual knowledge, " Neuropsychologia, vol. 35, pp. 1319-1327, 1997.
8. C. J. Mummery, T. Shallice and C. J. Price, " Dual process model in semantic priming: a functional imaging perspective, " Neuroimage, vol. 9, pp. 516-525, 1999.
9. H. Damasio et al., " Neural systems behind word and concept retrieval, " Cognition, vol. 92, pp. 179-229, 2004.
10. M. L. Kellenbach, M. Brett and K. Patterson, "Large, colourful or noisy? Attribute-and modality-specific activations during retrieval of perceptual attribute knowledge, " Cognit. Affect. Behav. Neurosci, vol. 1, pp. 207-221, 2001.
11. A. Caramazza, A. and B. Z. Mahon, "The organization of conceptual knowledge: the evidence from category-specific semantic deficits, " Trends in Cog. Sci., vol. 7, 354-pp. 361, 2003.
12. R. F. Goldberg, C. A. Perfetti and W. Schneider, "Distinct and common cortical activations for multimodal semantic categories, " Cognit. Affect. Behav. Neurosci, vol. 6, pp. 214-222, 2006.
13. K. Patterson, P. J. Nestor and T. T. Rogers, "Where do you know what you know? The representation of semantic knowledge in the human brain, " Nature Rev. Neurosci., vol. 8, pp. 976-987, 2007.
14. K. M. Heilman, S. E. Nadeau and D. O. Beversdorf, "Creative innovation: possible brain mechanisms, " Neurocase, vol. 9, pp. 369-379, 2003.
15. K. Christoff, J. M. Ream J. D. E. Gabrieli, "Neural basis of spontaneous thought processes, " Cortex, vol. 40, pp. 623-630, 2004.
16. E. M. Bowden, M. Jung-Beeman, J. Fleck and J. Kounios, "New approaches to demystifying insight, " Trends. In Cog. Sci., vol. 9, pp. 322-328, 2005.
17. M. D. Mumford and S. B. Gustafson, "Creativity syndrome: integration, application, and innovation, " Psychol. Bull., vol. 103, pp. 27-43, 1988.
18. M. I. Mobley, L. M. Doares and M. D. Mumford, "Process analytic models of creative capacities: Evidence for the combination and reorganization process, " Creativity Res. J., vol. 5, pp 125-155, 1992.
19. D. K. Simonton, "Foresight and insight? A Darwinian perscpective, " in R. J. Sternberg and J. E. Davidson, Eds., The Nature of Insight, pp. 465-494, Cambridge, MA: MIT Press.
20. P. B. Paulus and M. T. Dzindolet, "Social influence processes in group brainstorming, " J. Personal. Soc. Psychol. vol. 64, pp. 575-586, 1993.
21. V. Brown, M. Tumeo, T. S. Larey and P. B. Paulus, "Modeling cognitive interactions during group brainstorming, " Small Group Res., vol. 29, pp. 495-526, 1998.
22. H. Coskun, P. B. Paulus, V. Brown and J. J. Sherwood, "Cognitive simulation and problem presentation in idea generation groups, " Group Dynamics, vol. 4, pp. 307-329, 2000.
23. K. L. Dugosh, P. B. Paulus, E. J. Roland and H. C. Yang, "Cognitive simulation in brainstorming, " J. Personality and Soc. Psychol., vol. 79, pp. 722-735, 2000.
24. B. A. Nijstad and W. Stroebe, "How the group affects the mind: a cognitive model of idea generation in groups, " Personality and Soc. Pschol. Rev., vol. 10, pp. 186-213, 2006.
25. S. Doboli, A. A. Minai and V. R. Brown, "Adaptive dynamic modularity in a connectionist model of context-dependent idea generation, " in Proc. IJCNN, Orlando, FL, August 2007.
26. L. R. Iyer, A. A. Minai, S. Doboli and V. R. Brown, "Modularity and self-organized functional architectures in the brain, " Proc. 7th Int. Conf. on Complex Systems, Boston, MA, October 2007.
27. W. Duch, "Intuition, insight, imagination and creativity, " IEEE Comput. Intell., Aug. 2007, pp 40-52.
28. D. R. Hofstadter, Fluid Concepts and Creative Analogies. Basic Books, 1995.
29. G. A. Carpenter. and S. Grossberg, "ART2: self-organization of stable category recognition codes for analog input patterns, " Appl. Optics, vol. 26, pp. 4919-4930, 1987.
30. G. A. Carpenter. and S. Grossberg, S., "A massively parallel architecture for a self-organizing neural pattern recognition machine, " Comp. Vision, Graphics, and Image Proc., vol. 37, pp. 54-115, 1987.
31. J. C. Houk and S. P. Wise, "Distributed modular architectures linking basal ganglia, cerebellum, and cerebral cortex: their role in planning and controlling action, " Cerebral Cortex, vol. 5, pp. 95-110, 1995
32. J. C. Houk, "Agents of the mind, " Biol. Cybern., vol. 92, pp. 427-437, 2005.
33. W. J. Freeman, Neurodynamics: An Exploration of Mesoscopic Brain Dynamics, London: Springer, 2000.
34. I. Tsuda, "Towards an interpretation of dynamic neural activity in terms of chaotic dynamical systems, " Behav. Brain Sci., vol. 24, pp. 793-847, 2001.
35. S. L. Bressler and E. Tognoli, "Operational principles of neurocognitive networks, " Int. J. Psychophysiol., vol. 60, pp. 139-148, 2006.
36. V. K. Jirsa, "Connectivity and dynamics of neural information processing, " Neuroinformatics, vol. 2, pp. 183-204, 2004.
37. G. Tononi, G. M. Edelman and O. Sporns, "Complexity and Coherency: integrating information in the brain, " Trends in Cog. Sci., vol. 2, pp. 474-484, 1998.
38. R. L. Goldstone, M. E. Roberts and T. M. Guereckis, "Emergent processes in group behavior, " Curr. Dir. Psychol. Sci., vol. 17, pp. 10-15, 2008.
39. A. M. Graybiel, "The basal ganglia and chunking of action repertoires, " Neurobiology of Learning and Memory, vol. 70, 119-136, 1998.
40. N. Fujii and A. M. Graybiel, "Representation of action sequence boundaries by macaque prefrontal cortical neurons, ", Science, Vol. 301, pp. 1246-1249, 2003.
41. M. S. Jog, Y. Kubota, C. I. Connolly, V. Hillgaart, A. M. Graybiel, "Building neural representations of habits, " Science, Vol. 286, pp. 1745-1749, 1999.
42. G. Aston-Jones and. J. D. Cohen, "An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance, " Ann. Rev. Neurosci., vol. 28, pp. 403-450, 2005.
43. S. Dehaene, M. Kerszberg and J.-P. Changeux, "A neuronal model of a global workspace in effortful cognitive tasks, " Proc. Nat. Acad. Sci. USA, vol. 95, pp. 14529-14534, 1998.
44. A. P. Shimamura, "The role of the prefrontal cortex in dynamic filtering, " Psychobiology, vol. 28, pp. 207-218, 2000.
45. W. Schulz, "Multiple reward signals in the brain, " Nature Rev. Neurosci., vol. 1, pp. 199-207, 2000.
46. R. C. O'Reilly and M. J. Frank "Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia, " Neural Computation, vol. 18, pp. 283-328, 2006.
47. J. D. Cohen and D. Servan-Schreiber, "Context, cortex, and dopamine: a connectionist approach to behavior and biology in schizophrenia, ", Psychological Review, vol. 99, pp. 45-77, 1992.
48. D. Durstewitz, "Neurocomputational models of working memory, " Nature Neuroscience Supp., vol. 3, pp. 1184-1191, 2000.
49. A. J. Gruber, P. Dayan, B. S. Gutkin and S. A. Solla, "Dopamine modulation in the basal ganglia locks the gate to working memory, " J. Comput. Neurosci., vol. 20, pp. 153-166, 2006.
50. C. M. Gray and W. Singer, "Stimulus-specific neuronal oscillations in the orientation columns of the cat visual cortex, " Proc. Nat. Acad. Sci USA, vol. 86, pp. 1689-1702, 1989.
51. M. A. Schilling, "A small-world network model of cognitive insight, " Creativity Res. J., vol. 17, pp. 131-154, 2005.
52. R. S. Sutton A. G. Barto, Reinforcement Learning, Cambridge, MA: MIT Press, 1998
53. G. Mongillo, O. Barak and M. Tsodyks, "Synaptic theory of working memory, " Science, vol. 319, pp. 1543-1546, 2008..
54. A. M. Graybiel and S. L. Rauch, "Towards a neurobiology of obsessive-compulsive disorder, " Neuron, vol. 28, pp. 343-347, 2000.
55. L. R. Iyer, A. A. Minai, V. R. Brown and S. Doboli, "Effects of relevant and irrelevant cues on idea generation: a computational model, " submitted to IJCNN 2009.
56. R. Sun, "Cognitive social simulation incorporating cognitive architectures, " IEEE Intell. Sys., Sep-Oct. 2007, pp. 33-39, 2007.