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. 2019 Jul 31;13:36. doi: 10.3389/fnint.2019.00036

Figure 8.

Figure 8

The doubly stochastic model Contrast = ξ (A + ση) (see Equation 1) is used to simulate the long-term instantaneous contrasts. One noise term, ξ (dichotomous), causes the discrete transitions between a bump state (with the value of 1) and an inter-bump state (with the value of 0.02). A second noise term, η, is an exponentially correlated Ornstein-Uhlenbeck (OU) process with auto-correlation time of 1 s. This OU produces the contrast variability seen within contrast bump intervals. The instantaneous contrasts calculated from the recording (dashed lines) and representations of the model (solid lines) are shown in three cases: (A) mean(BD) = mean(IBD) = 4.4 s; (B) mean(BD) > mean(IBD); and (C) mean(BD) < mean(IBD). The parameters A and σ are the mean contrast value and the strength of the OU process η; here they take values of 0.2 and 0.1, respectively.