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Idea generation is a fundamental attribute of the human mind, but the cognitive and neural mechanisms underlying this process remain unclear. In this paper, we present a dynamic connectionist model for the generation of ideas within a brainstorming context. The key hypothesis underlying the model is that ideas emerge naturally from itinerant attractor(More)
As roles for different brain regions become clearer, a picture emerges of how primate prefrontal cortex executive circuitry influences subcortical decision making pathways inherited from other mammals. The human's basic needs or drives can be interpreted as residing in an on-center off-surround network in motivational regions of the hypothalamus and brain(More)
A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle :: yellow-square:?, (b) apple:red :: banana: ?, (c) a:b :: c:?. Underlying the development of this network is a theory for how the brain learns the nature of association between pairs of(More)
An avalanche model of motor sequence encoding is presented. The ultimate aim is to reproduce data showing that monkeys with frontal lobe damage can learn an invariant sequence of movements if it is rewarded, but cannot learn to perform an), one of several variations of a sequence (f all are rewarded. In this article, we present simulations of the primary(More)
─Humans have a drive to maximize knowledge of the world, yet decision making data also suggest a contrary drive to minimize cognitive effort using simplifying heuristics. The trade-off between maximizing knowledge and minimizing effort is modeled by simulation of a challenging decision task. The task is to choose which of two gambles has the highest(More)