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The Journal of Mathematical Neuroscience
Figure 5 | The Journal of Mathematical Neuroscience

Figure 5

From: Data-driven inference for stationary jump-diffusion processes with application to membrane voltage fluctuations in pyramidal neurons

Figure 5

Calculating D̂ relies on partitioning \(\{X(t)\}\) in jump-free segments for different threshold values. We show here how this strategy is applied to the two jump-diffusion test cases presented in Sect. 3.2. (A) A jump-triggered average (black curve) is obtained from the largest 5% jumps in the data and is used to obtain a maximum estimate of the transient time scale Φ (dashed line). (B) Jump-free segments used to calculated the optimal value of D̂ in C. (C) Different estimates of D are produced for different values of the threshold. We heuristically choose the minimum value as the optimal value. Traces in A and B are from Case 2

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