Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
23
pubmed:dateCreated
1991-1-16
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.
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
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0027-8424
pubmed:author
pubmed:issnType
Print
pubmed:volume
87
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
9467-71
pubmed:dateRevised
2010-9-7
pubmed:meshHeading
pubmed:year
1990
pubmed:articleTitle
Oscillations and chaos in neural networks: an exactly solvable model.
pubmed:affiliation
Department of Chemistry, Stanford University, CA 94305.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.