Name
Title | ||
|---|---|---|
Robustness of gamma-oscillation in networks of excitatory and inhibitory neurons with conductance-based synapse |
Abstract | ||
|---|---|---|
The stability of synchronization in E/I networks (networks of excitatory and inhibitory neurons) has been explored in many studies. However, how the robust synchronization occurs in highly heterogeneous real neural circuits has not been studied sufficiently. This paper considers the robustness of the synchronization in E/I network, and found that both the frequency and the synchrony of the network are highly dependent on the parameter settings. A short but indispensable inhibition delay, sufficiently fast decay of inhibitory synapses, and strong connections are critical to turn the E/I networks into robust gamma frequency oscillators. The networks under these conditions can achieve a level of robustness against heterogeneity as high as 30%, which is comparable to the level of heterogeneity observed in real neural systems. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21105-8_2 | ISNN (1) |
Keywords | Field | DocType |
indispensable inhibition delay,fast decay,heterogeneous real neural circuit,parameter setting,robust synchronization,robust gamma frequency oscillator,inhibitory synapsis,inhibitory neuron,strong connection,real neural system,conductance-based synapse,heterogeneity,oscillations | Synapse,Synchronization,Oscillation,Computer science,Robustness (computer science),Inhibitory postsynaptic potential,Excitatory postsynaptic potential,Artificial intelligence,Conductance,Biological neural network,Machine learning | Conference |
Volume | ISSN | Citations |
6675 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haibo Shi | 1 | 13 | 7.57 |
| Zhijie Wang | 2 | 89 | 11.14 |
| Jinli Xie | 3 | 7 | 2.94 |
| Chongbin Guo | 4 | 0 | 1.01 |