Figure 4
Correlation angles and stationary clusters. (a) Histograms of linear regression p-values of the first neuron’s spike time and the spike time difference. (b) Mean \(\theta _{45}\) angles with 95% empirical confidence intervals for positively correlated Stage 2 clusters (top) and unclustered response distributions (bottom). Green if significantly greater than \(0^\circ\) (p-value < 0.025) and less than \(45^\circ\) (p-value < 0.025). Grey otherwise. (c) Histogram of cluster angle 95% empirical confidence intervals. (d) Example of stationary (left) and non-stationary cluster (right) determined by the stationarity criteria (see Methods). Top row shows single neuron cluster spike times for each neuron (green and blue) plotted against cluster trial index. Bottom shows the cluster spike times of neuron A and B plotted against each other. Non-stationary cluster shows a clear trial dependence. (e) Top: Histogram of variance explained (\(r^2\)) by the spike time linear relationship of each stationary Stage 2 cluster (dark blue) and the linear relationship of the unclustered response distributions from which stationary Stage 2 clusters were extracted (grey). Bottom: \(r^2\) values shown for stationary unclustered response distributions (f) Predicted \(\theta _{45}\) angles with 95% empirical confidence intervals for stationary Stage 2 clusters (top) and stationary correlated unclustered response distributions. Angles significantly different from \(0^{\circ }\) (p-value < 0.025) and \(45^{\circ }\) (p-value < 0.025) coloured green. Grey otherwise.
