2009
DOI: 10.1016/j.neunet.2009.06.019
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Neural dynamics of idea generation and the effects of priming

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Cited by 52 publications
(27 citation statements)
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“…Computational models of BVSR or other processes related to thinking are quite difficult to make, as representations of concepts in the brain involves many areas distributed around the brain [22], [23], [24]. Although some attempts have been made to implement the meaning of general concepts in neural networks [25] without explicit model of perception recreation of natural associations and thus meaning may not be feasible.…”
Section: Creativitymentioning
confidence: 99%
“…Computational models of BVSR or other processes related to thinking are quite difficult to make, as representations of concepts in the brain involves many areas distributed around the brain [22], [23], [24]. Although some attempts have been made to implement the meaning of general concepts in neural networks [25] without explicit model of perception recreation of natural associations and thus meaning may not be feasible.…”
Section: Creativitymentioning
confidence: 99%
“…Von Hippel's research have established the importance of user innovation (Von Hippel, 1978), while also addressing the by ideas of others (Leggett Dugosh et al, 2000;Nijstad, Stroebe, & Lodewijkx, 2002), by cognitive training (Dahl & Moreau, 2002;Iyer et al, 2009;Marakas & Elam, 1997), or even using special software (MacCrimmon & Wagner, 1994;Rangaswamy & Lilien, 1997;Verhaegen et al, 2011). We also know that some sorts of hybrid ideation bring superior results, being able to use collaborative and stimulating synergies, while eliminating the frequent pitfalls of the classic groupideation techniques, such as free-riding or production-blocking (Aiken, Sloan, Paolillo, & Motiwalla, 1997;Diehl & Stroebe, 1987).…”
Section: Current State Of Knowledgementioning
confidence: 99%
“…Models of ideation based on this have been proposed by Brown and Paulus [8] and Nijstad and Stroebe [5]. Recently, we have developed a larger model in which associative search plays a crucial role [13], [14], [17], [16], [18].…”
Section: Ideas As Conceptual Combinationsmentioning
confidence: 99%
“…Graded attractors can be modulated to limit or expand the number of active units, thus controlling the "width" of the cognitive spotlight on the CN (see Figure 2). In more comprehensive versions of the model, graded attractors can also be switched and merged, and reshaped through longterm potentiation (LTP) mediated by dopamine-based reward signals [18]. However, we do not focus on these attributes, and use a simpler system to demonstrate the basic idea of a flexible cognitive spotlight to configure context-specific domains, and to study the role of this spotlight in finding novel combinations.…”
Section: Overview Of the Computational Modelmentioning
confidence: 99%
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