Name
Abstract | ||
|---|---|---|
Correlation coefficient is a way to capture the structure of correlation, which is widely used for analysis and interpretation of multiple simultaneously recorded spike trains. We study the correlation coefficient of a global delayed feedback network with a population of excitatory neurons and a population of inhibitory neurons and show the contribution of the inhibitory feedback to the oscillations and correlation. We find that, with the increase of the strength of the inhibitory feedback, the mean firing rate of the excitatory neurons decreases monotonically, while the correlation coefficient first goes down, and then goes up when the excitatory neurons oscillate and the spectrum shows significant resonance. The non-monotonic relationship between the correlation coefficient and the strength of inhibitory feedback is thus due to the combined effect of the mean firing rate and the power of oscillations. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21105-8_4 | ISNN (1) |
Keywords | Field | DocType |
global delayed feedback network,mean firing rate,inhibitory neuron,excitatory neurons oscillate,non-monotonic relationship,excitatory neuron,correlated firing,inhibitory feedback,combined effect,significant resonance,correlation coefficient,oscillations,correlation,spectrum,oscillation | Correlation coefficient,Population,Oscillation,Pattern recognition,Mathematical analysis,Control theory,Excitatory postsynaptic potential,Inhibitory postsynaptic potential,Correlation,Artificial intelligence,Resonance,Mathematics | Conference |
Volume | ISSN | Citations |
6675 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinli Xie | 1 | 7 | 2.94 |
| Zhijie Wang | 2 | 89 | 11.14 |
| Haibo Shi | 3 | 13 | 7.57 |