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Conventional analysis of trial-by-trial adaptation is biased: Empirical and theoretical support using a Bayesian estimator

Fig 6

Steady state trial-by-trial adaptation rates show improved consistency.

(a) As the initial gain estimate of the Bayesian learner model is varied, the resulting trial-by-trial adaptation rate calculated using the identified steady state trials remains consistent. (b) As the initial gain estimate is varied, the trial-by-trial adaptation rate calculated across all trials varies.

Fig 6

doi: https://doi.org/10.1371/journal.pcbi.1006501.g006