Evaluate the Networks Cross Correlation Histograms

[rgutzen]

For a network of N neurons, there are N*(N-1)/2 CCHs. The resulting data is 4 dimensional (Neuron#1, Neuron#2, Time-Lag, Correlation). Significant features in this data have to extracted, visualized and quantified.

• Plot 3D graph with X=Neuron-Axis-1, Y=Neuron-Axis-2, Z=Time-Lag-Axis, CCH bin-height in direction Y and color coded.
• Rescaling of CCH values to [0 .. 1] to apply visual aids (color, alpha)
• Correction for the firing rate of the neuron (cross_corr_coef)
• Thresholding of the CCH values to declutter the graph
• Quantify and interpret the dominant features