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For the Runge-Kutta methods, we always assume that b 1 + b 2 + ⋯ + b ν = 1 and 0 ≤ c 1 ≤ c 2 ≤ ⋯ ≤ c ν ≤ 1.

For all three methods we always ensured that at least the two nearest neighbors were included: thus in all cases the 100% isopleth could be constructed.

As described in Methods, we always positioned one response target (T1) within the RF of the neuron under study, while positioning the other target (T2) 180° away in the opposite hemifield.

However, when we applied the selective antagonist APV (see Methods) we always obtained a clear reduction of the bursting activity (Figure 6A, blue trace), suggesting that NMDA receptors are present in the leech ganglion [39].

In cases where we used size-corrected methods, we always paid attention to the interaction between treatment and the covariate (size), since size-corrected methods can result in significant bias in the estimates [32].

In comparison analysis of different methods we always use detrended signals as input signals to 1) minimize boundary artifacts and 2) ensure equal conditions for all considered methods.

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Throughout this paper, when using Algorithm 1 as a solver on each grid of the EXFMG method, we always set (N_{textrm{cycles}} =1).

Nevertheless, in order to allow an estimation of the sensitivity of the results to the choice of method, we always present both sets of results.

GO was prepared by the simplified Hummers method that we always use in our group.

In the statistical comparisons of method performance, we always test the null hypothesis that DISOPRED3 is not more accurate than DISOPRED2 against the alternative hypothesis that DISOPRED3 outperforms DISOPRED2.

In fact, even when we divide the data sets by political party or by date, giving many more chances to find a cycle that breaks the otherwise robust Condorcet method, we still always have a Condorcet winner.

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