Figure 9.
Distribution of θ- and δ-burst durations in the light period are independent of the scale of analysis and can be described by unique scaling functions. Distribution of θ and δ burst durations in light period for different window sizes w and Th = 1 on the ratio Rθδ. a, Rescaled distribution of θ burst durations for control rats over a 12 h light period (pooled data). Distributions are rescaled by the window size w and consistently show the same power law behavior with α = 2.3, as proven by the data collapse. Inset, Distributions Pθ for different window sizes (not rescaled). b, Rescaled distribution of δ burst durations for control rats over a 12 h light period (pooled data). Distributions are rescaled by 〈dδ〉ξ, with 〈dδ〉 mean δ-burst duration and ξ = 1, and collapse onto a single function fδ that is well described by a Weibull distribution f(x; λ, β) (thick black line), with λ = 0.04 and β = 0.70. Inset, Distributions Pδ for different window sizes (not rescaled). c, Rescaled distribution of θ burst durations for VLPO lesioned rats over a 12 h light period (pooled data). Distributions are rescaled by the window size w and consistently show the same power law behavior with α = 2.5, as proven by the data collapse. Inset, Distributions Pθ for different window sizes (not rescaled). d, Rescaled distribution of δ burst durations for VLPO-lesion rats over a 12 h light period (pooled data). Distributions are rescaled by 〈dδ〉ξ, with ξ = 1, and collapse onto a single function fδ that is well described by a Weibull distribution f(x; λ, β) (thick black line), with λ = 0.04 and β = 0.67. Inset, Distributions Pδ for different window sizes (not rescaled).