Results of avalanche-analysis (summed LFP amplitudes).

Results of avalanche analysis performed on data obtained from positive (Pos) and negative (Neg) LFP peaks detected with either a Low or High threshold. In this analysis, the avalanche size was the summed amplitude of all LFP peaks within the avalanche. The is the estimated exponential parameter, the KS value corresponds to the Kolmogorov–Smirnov distance. The smaller the KS, the better the fit. The closer to 1 the p-value, the better the fit. The % represents the percentage of data explained by the best fit. We observe that the distributions of these data are better represented by exponential fits, and the positive peaks with a low threshold are not well modeled by either an exponential law or a power law. The log-likelihood ratio test always conclude that a better fit is provided by the exponential law. This test is performed over a common range by fitting the data using the same values of and for both laws. The LLR value is the value of the log-likelihood ratio. It is negative (positive) if the better fit is the exponential (power-law) distribution. The p-val value is the significance log-likelihood ratio (see text). The closer to 0, the more significant the test. Result corresponds to the conclusion of the log likelihood ratio test: Exp indicates that the log likelihood ratio concludes that the exponential fit is better.