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Nature, nurture, and the development of functional specializations: A computational approachby: Robert A. Jacobs
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AbstractThe roles assigned to nature and nurture in the acquisition of functional specializations have been modified in recent years due to increasing evidence that experience-dependent processes are more influential in determining a brain region's functional properties than was previously supposed. Consequently, one may study the developmental principles that play a role in the acquisition of functional specializations. This article studies the hypothesis that a combination of structure-function correspondences plus the use of competition between modules leads to functional specializations. This principle has been instantiated in a family of neural network architectures referred to as "mixtures-of-experts" architectures. These architectures are sensitive to structure-function relationships in the sense that they often learn to allocate to each task a network whose structure is well-matched to that task. The viewpoint advocated here represents a middle-ground between nativist and constructivist views of modularity.
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