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Can we do without distributed models? Not in artificial grammar learning
Published online by Cambridge University Press: 30 August 2019
Abstract
Page argues that localist models can be applied to a number of problems that are difficult for distributed models. However, it is easy to find examples where the opposite is true. This commentary illustrates the superiority of distributed models in the domain of artificial grammar learning, a paradigm widely used to investigate implicit learning.
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- 2000 Cambridge University Press
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