Name
Abstract | ||
|---|---|---|
“Equation-free modelling” is a recently-developed technique for bridging the gap between detailed, microscopic descriptions
of systems and macroscopic descriptions of their collective behaviour. It uses short, repeated bursts of simulation of the
microscopic dynamics to analyse the effective macroscopic equations, even though such equations are not directly available
for evaluation. This paper demonstrates these techniques on a variety of networks of model neurons, and discusses the advantages
and limitations of such an approach. New results include an understanding of the effects of including gap junctions in a model
capable of sustaining spatially localised “bumps” of activity, and an investigation of a network of coupled bursting neurons. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s10827-006-3843-z | Journal of Computational Neuroscience |
Keywords | DocType | Volume |
equation-free,bifurcation,model,microscopic,macroscopic | Journal | 20 |
Issue | ISSN | Citations |
1 | 0929-5313 | 5 |
PageRank | References | Authors |
0.77 | 11 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlo R. Laing | 1 | 295 | 41.21 |