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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
|
| pubmed:dateCreated |
1998-3-10
|
| pubmed:abstractText |
It is shown that very small time steps are required to reproduce correctly the synchronization properties of large networks of integrate-and-fire neurons when the differential system describing their dynamics is integrated with the standard Euler or second-order Runge-Kutta algorithms. The reason for that behavior is analyzed, and a simple improvement of these algorithms is proposed.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Feb
|
| pubmed:issn |
0899-7667
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:day |
15
|
| pubmed:volume |
10
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
467-83
|
| pubmed:dateRevised |
2005-11-16
|
| pubmed:meshHeading |
pubmed-meshheading:9472491-Action Potentials,
pubmed-meshheading:9472491-Algorithms,
pubmed-meshheading:9472491-Computer Simulation,
pubmed-meshheading:9472491-Models, Neurological,
pubmed-meshheading:9472491-Neural Networks (Computer),
pubmed-meshheading:9472491-Neurons,
pubmed-meshheading:9472491-Reproducibility of Results
|
| pubmed:year |
1998
|
| pubmed:articleTitle |
On numerical simulations of integrate-and-fire neural networks.
|
| pubmed:affiliation |
Centre de Physique Théorique UPR014 CNRS, Ecole Polytechnique, Palaiseau, France.
|
| pubmed:publicationType |
Journal Article,
Review
|