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Exceedance probabilities (i.e., probability that a given model is more frequent in the population than the other models) of a random-effects Bayesian model comparison. Results are shown for AIC; see Results for BIC. Exceedance probabilities of the winning models are decisive (p > 0.95). The models are detailed in Table 1 and in the supplemental material (available at www.jneurosci.org).
