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Distributed neural blackboards could be more attractive

Grüning, A and Treves, A (2006) Distributed neural blackboards could be more attractive Behavioral and Brain Sciences, 29, 1. pp. 79-80.

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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.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Grüning, A
Treves, A
Date : February 2006
DOI : 10.1017/S0140525X06319024
Uncontrolled Keywords : LANGUAGE
Related URLs :
Additional Information : Copyright 2006 Cambridge University Press.
Depositing User : Symplectic Elements
Date Deposited : 16 Dec 2011 12:33
Last Modified : 31 Oct 2017 14:16

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