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Distributed neural blackboards could be more attractive

Published online by Cambridge University Press:  15 March 2006

André Grüning  and
Alessandro Treves
André Grüning
Affiliation:
Cognitive Neuroscience Sector, Scuola Internazionale Superiore di Studi Avanzati (SISSA), 34104 Trieste, Italygruening@sissa.it http://www.sissa.it/~gruening ale@sissa.it http://www.sissa.it/~ale/limbo.htm
Alessandro Treves
Affiliation:
Cognitive Neuroscience Sector, Scuola Internazionale Superiore di Studi Avanzati (SISSA), 34104 Trieste, Italygruening@sissa.it http://www.sissa.it/~gruening ale@sissa.it http://www.sissa.it/~ale/limbo.htm
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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.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 29 , Issue 1 , February 2006 , pp. 79 - 80
Copyright
© 2006 Cambridge University Press

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