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. 2015 Mar 20;11(3):e1004082. doi: 10.1371/journal.pcbi.1004082

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© 2015 Wohrer, Machens

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Fig 6 — Efficiency of the inference method, applied to our simulated LIF network. The three panels show different 2d projections of the underlying 4d parameter space: (t _R, w) plane (A), (K, w) plane (B), (K, σ _d) plane (C). Black square: true parameters $(K^{⋆}, w^{⋆}, t_{R}^{⋆}, σ_{d}^{⋆})$ used to produce the data. Red square: best fit parameters (K, w, t _R, σ _d), achieving the minimum of the loss function in eq. 16. Gray points: best fit parameters for 14 (bootstrap) resamplings of the original trials (some points are superimposed, due to the finite grid of tested parameters). Red ellipses: corresponding confidence intervals, as the 1- and 2- standard deviation of the bootstrap resamplings.