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Distributed neural blackboards could be more attractive
Published online by Cambridge University Press: 15 March 2006
Abstract
The target article demonstrates how neurocognitive modellers should not be intimidated by challenges such as Jackendoff's and should explore neurally plausible implementations of linguistic constructs. The next step is to take seriously insights offlered by neuroscience, including the robustness allowed by analogue computation with distributed representations and the power of attractor dynamics in turning analogue into nearly discrete operations.
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- © 2006 Cambridge University Press