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. 2018 Aug 31;14(8):e1006243. doi: 10.1371/journal.pcbi.1006243

Fig 3.

Fig 3

Model selection results (a) across three families of observation models (b) for the entire model space and (c) for previously proposed non probabilistic models for threat learning. The three model families of panel (a) collapse across all models and reflect observation functions related to value (models RW, HM2, BM), surprise (model HM1) and combinations (noted Bayesian Combination model, BC). The bars in all panels indicate model evidence, based on protected exceedance probabilities (p.x.p., RFX).