Name
Title | ||
|---|---|---|
Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation |
Abstract | ||
|---|---|---|
It has been observed that spike count correlation between two simultaneously recorded neurons often increases with the length of time interval examined. Under simple assumptions that are roughly consistent with much experimental data, we show that this phenomenon may be explained as being due to excess trial-to-trial variation. The resulting formula for the correlation is able to predict the observed correlation of two neurons recorded from primary visual cortex as a function of interval length. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1162/neco.2006.18.11.2583 | Neural Computation |
Keywords | Field | DocType |
observed correlation,spike count correlation,interval length,time interval,excess trial-to-trial variation,experimental data,primary visual cortex,resulting formula,simple assumption,Spike Count Correlation Increases,Time Interval,Trial-to-Trial Variation | Mathematical optimization,Neuroscience,Visual cortex,Correlation,Spike count,Statistics,Electrophysiology,Mathematics | Journal |
Volume | Issue | ISSN |
18 | 11 | 0899-7667 |
Citations | PageRank | References |
9 | 1.05 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert E. Kass | 1 | 328 | 43.43 |
| Valérie Ventura | 2 | 253 | 36.45 |