| A computational model of a global neuronal workspace with stochastic connections. | |
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MedLine Citation:
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PMID: 20688468 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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This paper presents a model of long-range cortical communication by means of a global neuronal workspace similar to that proposed by Dehaene and Naccache (2001). The model resembles that of Shanahan (2008), which was based on reverberating circuits of one-to-one connections, but uses a stochastic wiring regime in place of the highly regular scheme used there. The paper offers a systematic analysis of the influence of certain parameters on the dynamics of networks built according to this regime. Armed with a fuller understanding of the origins of the observed behaviour in the model, the qualitative behaviour of the previous model is replicated, and further unexplored choices are examined for ongoing work. |
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Authors:
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Dustin Connor; Murray Shanahan |
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Publication Detail:
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Type: Journal Article Date: 2010-07-17 |
Journal Detail:
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Title: Neural networks : the official journal of the International Neural Network Society Volume: 23 ISSN: 1879-2782 ISO Abbreviation: Neural Netw Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2010-11-15 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8805018 Medline TA: Neural Netw Country: United States |
Other Details:
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Languages: eng Pagination: 1139-54 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Ltd. All rights reserved. |
Affiliation:
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Department of Computing, Imperial College London, 180 Queen’s Gate, London, England, UK. dustin.connor02@imperial.ac.uk |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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