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. 2012 Sep 26;108(12):3353–3369. doi: 10.1152/jn.00414.2011

Table 4.

Linear regression of correlation magnitude and GMFR by spatiotemporal stimulus parameters

Stimulus Category Correlation SD GMFR, spikes/s SD N Pearson r P Value Spearman ρ P Value
Full data set 0.0335 0.0149 3.006 1.262 15,662 0.440 <0.0001 0.483 <0.0001
Single point 0.0340 0.0138 3.126 3.459 3,853 0.420 <0.0001 0.471 <0.0001
Dual-Point Stimuli By Spatial Proximity Parameters
Adj Ph 0.0349 0.0159 2.076 1.792 4,849 0.298 <0.0001 0.416 <0.0001
NonA Ph 0.0293 0.0115 1.996 1.480 1,578 0.457 <0.0001 0.502 <0.0001
Adj D 0.0356 0.0130 3.150 2.705 1,444 0.443 <0.0001 0.428 <0.0001
NonA D 0.0324 0.0162 4.385 6.216 3,938 0.646 <0.0001 0.661 <0.0001
Dual-Point Stimuli By Temporal Asynchrony Parameters
0 ms 0.0312 0.0129 2.680 3.363 2,353 0.466 <0.0001 0.540 <0.0001
10 ms 0.0359 0.0161 3.327 4.208 2,267 0.402 <0.0001 0.423 <0.0001
30 ms 0.0328 0.0157 2.847 4.123 2,284 0.428 <0.0001 0.486 <0.0001
50 ms 0.0327 0.0150 2.856 4.249 1,853 0.467 <0.0001 0.545 <0.0001
100 ms 0.0366 0.0155 3.429 4.552 1,383 0.414 <0.0001 0.350 <0.0001
500 ms 0.0320 0.0158 2.785 3.989 1,669 0.493 <0.0001 0.450 <0.0001

Values indicate linear regression (Pearson's r) and nonparametric correlation (Spearman's ρ) between the spike timing correlation magnitude and geometric mean firing rate (GMFR; spikes/s) for neurons in each correlated pair by spatiotemporal stimulus parameter category.