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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distributed_neural.pdf - Version of Record
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.
|Divisions :||Faculty of Engineering and Physical Sciences > Computing Science|
|Date :||February 2006|
|Identification Number :||https://doi.org/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 :||23 Sep 2013 18:53|
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