Contribution to collective works (Parts of books)
A Neurobiologically Inspired Model of Working Memory Based on Neuronal Synchrony and Rythmicity
Sougné, Jacques; French, R. M.
1997In Bullinaria, J.A.; Glasspool, D.W.; Houghton, G. (Eds.) Proceedings of the Fourth Neural Computation and Psychology Workshop: Connectionist Representations
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Abstract :
[en] The connectionist model of reasoning presented here, INFERNET, implements a working memory that is the activated part of long-term memory. This is achieved by making use of temporal properties of the node spikes. A particular solution of the problem of multiple instantiation is proposed. This model makes predictions that have been tested experimentally and the results of these experiments are reported here. These results would seem to challenge modular models of memory.
Disciplines :
Neurosciences & behavior
Author, co-author :
Sougné, Jacques ;  Université de Liège - ULiège > UDI FAPSE
French, R. M.
Language :
English
Title :
A Neurobiologically Inspired Model of Working Memory Based on Neuronal Synchrony and Rythmicity
Publication date :
1997
Main work title :
Proceedings of the Fourth Neural Computation and Psychology Workshop: Connectionist Representations
Editor :
Bullinaria, J.A.
Glasspool, D.W.
Houghton, G.
Publisher :
Springer, London, United Kingdom
Pages :
155-167
Peer reviewed :
Peer reviewed
Available on ORBi :
since 04 June 2009

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