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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
23
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pubmed:dateCreated |
1991-1-16
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pubmed:abstractText |
We consider a randomly diluted higher-order network with noise, consisting of McCulloch-Pitts neurons that interact by Hebbian-type connections. For this model, exact dynamical equations are derived and solved for both parallel and random sequential updating algorithms. For parallel dynamics, we find a rich spectrum of different behaviors including static retrieving and oscillatory and chaotic phenomena in different parts of the parameter space. The bifurcation parameters include first- and second-order neuronal interaction coefficients and a rescaled noise level, which represents the combined effects of the random synaptic dilution, interference between stored patterns, and additional background noise. We show that a marked difference in terms of the occurrence of oscillations or chaos exists between neural networks with parallel and random sequential dynamics.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-222355,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-2564205,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-2911347,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-3013325,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-3467316,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-3857587,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-391355,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-4330578,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-5866283,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-6487679,
http://linkedlifedata.com/resource/pubmed/commentcorrection/2251287-7095064
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Dec
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pubmed:issn |
0027-8424
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
87
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
9467-71
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pubmed:dateRevised |
2010-9-7
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pubmed:meshHeading | |
pubmed:year |
1990
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pubmed:articleTitle |
Oscillations and chaos in neural networks: an exactly solvable model.
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pubmed:affiliation |
Department of Chemistry, Stanford University, CA 94305.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.
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