Can we do without distributed models? Not in artificial grammar learning

Behavioral and Brain Sciences 23 (4):484-484 (2000)
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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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10.1017/s0140525x00403353

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Citations of this work

Learning non-local dependencies.Gustav Kuhn & Zoltán Dienes - 2008 - Cognition 106 (1):184-206.

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