Distributed neural blackboards could be more attractive

Abstract

The target article demonstrates how neurocognitive modellers should not be intimidated by challenges such as Jackendoffs and should explore neurally plausible implementations of linguistic constructs. The next step is to take seriously insights offered 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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