Table 2.

List of features to identify spatiotemporal patterns

	Description	Formula
1-Statistic
Median	Middle ordered voltage value across time.	Middle value
Range	Range of normalized values across time.	$max(v_{i,j})-min(v_{i,j})$
Mean	Average value across time.	$\frac{1}{N^2}\sum _{i,j}^{N^2}{v}_{\mathit{ij}}$
Sum	Total value across time.	$\sum _{i,j}^{N^2}{v}_{\mathit{ij}}$
Skew	Measure of asymmetry of the probability distribution of values across time	$\sum _{i,j}^{N^2}\frac{\mathbf{E}[v_{\mathit{ij}}^3]-3\mu {\sigma }^2-{\mu }^3}{{\sigma }^3}$
Kurtosis	Measure of “tailed-ness” of the probability distribution of values across time	$\sum _{i,j}^{N^2}\frac{\mathbf{E}[{(v_{\mathit{ij}}-\mu )}^4]}{(\mathbf{E}{[{(v_{\mathit{ij}}-\mu )}^2)}^2}$
2-Kymograph
Quiescent Duration	Amount of time the network is not in an active state.	See text
Speed	Propagation rate from a central stimulation source.	See text
3-Texture
Connected Components	Number of distinct clusters of activity.	Bwconncomp
Homogeneity	Similarity of voltage values throughout the recording.	$\sum _{i,j}^{N^2}\frac{v_{\mathit{ij}}}{1+|i-j|}$
Entropy	Randomness of the image	$\sum _{i,j}^{N^2}{v}_{\mathit{ij}}ln(v_{\mathit{ij}})$
Correlation	Correlation between a pixel and its neighbors.	$\sum _{i,j}^{N^2}\frac{(i-\mu i)(j-\mu j)v_{\mathit{ij}}}{{\sigma }_i{\sigma }_j}$
Energy	Uniformity in the image.	$\sum _{i,j}^{N^2}{v}_{\mathit{ij}}^2$
Contrast	Intensity contrast between a pixel and its neighborhood.	$\sum _{i,j}^{N^2}{|i-j|}^2{v}_{\mathit{ij}}$