Name
Title | ||
|---|---|---|
Excitement And Synchronization Of Small-World Neuronal Networks With Short-Term Synaptic Plasticity |
Abstract | ||
|---|---|---|
Excitement and synchronization of electrically and chemically coupled Newman-Watts (NW) small-world neuronal networks with a short-term synaptic plasticity described by a modified Oja learning rule are investigated. For each type of neuronal network, the variation properties of synaptic weights are examined first. Then the effects of the learning rate, the coupling strength and the shortcut-adding probability on excitement and synchronization of the neuronal network are studied. It is shown that the synaptic learning suppresses the over-excitement, helps synchronization for the electrically coupled network but impairs synchronization for the chemically coupled one. Both the introduction of shortcuts and the increase of the coupling strength improve synchronization and they are helpful in increasing the excitement for the chemically coupled network, but have little effect on the excitement of the electrically coupled one. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1142/S0129065711002924 | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS |
Keywords | Field | DocType |
Excitement, synchronization, neuronal, network, small-world, short-term synaptic plasticity | Synchronization,Computer science,Learning rule,Coupling strength,Artificial intelligence,Synaptic plasticity,Biological neural network | Journal |
Volume | Issue | ISSN |
21 | 5 | 0129-0657 |
Citations | PageRank | References |
10 | 0.66 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Han, Fang | 1 | 48 | 10.86 |
| Marian Wiercigroch | 2 | 29 | 7.97 |
| Jian-an Fang | 3 | 529 | 23.40 |
| Zhijie Wang | 4 | 89 | 11.14 |