Figure 8.

Distribution of θ- and δ-burst durations in the dark period are independent of the scale of analysis and can be described by unique scaling functions. Distribution of θ and δ burst durations in dark period for different window sizes w and Th = 1 on the ratio R_θδ. a, Rescaled distribution of θ burst durations for control rats over a 12 h dark period (pooled data). Distributions are rescaled by the window size w and consistently show the same power law behavior with α = 2.65, as proven by the data collapse. Inset, Distributions P_θ for different window sizes (not rescaled). b, Rescaled distribution of δ burst durations for control rats over a 12 h dark period (pooled data). Distributions are rescaled by 〈d_δ〉^ξ, with 〈d_δ〉 mean δ-burst duration and ξ = 1, and collapse onto a signle function f_δ that is well described by a Weibull distribution f(x; λ, β) (black line), with β = 0.66 and λ = 0.04. Inset, Distributions P_δ for different window sizes (not rescaled). c, Rescaled distribution of θ burst durations for VLPO lesioned rats over a 12 h dark period (pooled data). Distributions are rescaled by the window size w and consistently show the same power law behavior with α = 3.1, as proven by the data collapse. Inset, Distributions P_θ for different window sizes (not rescaled). d, Rescaled distribution of δ burst durations for VLPO-lesion rats over a 12 h dark period (pooled data). Distributions are rescaled by 〈d_δ〉^ξ, and collapse onto a single function that is well fitted by a Weibull distribution f(x; λ, β) (black line), with β = 0.70 and λ = 0.05. Inset, Distributions P_δ for different window sizes (not rescaled).