Distributed neural blackboards could be more attractive
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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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Official URL: http://dx.doi.org/10.1017/S0140525X06319024
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.
| Item Type: | Article | |||||||||
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| Divisions : | Faculty of Engineering and Physical Sciences > Computing Science | |||||||||
| Authors : |
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| Date : | February 2006 | |||||||||
| DOI : | 10.1017/S0140525X06319024 | |||||||||
| Uncontrolled Keywords : | LANGUAGE | |||||||||
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| 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 | |||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/22859 |
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