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A Unifying Probabilistic View of Associative Learning

Fig 4

Overshadowing and second-order conditioning.

(A) Experimental design [55]. Note that two control groups have been ignored here for simplicity. (B) Simulated value of stimulus Z computed by Kalman TD (left) and TD (right). Only Kalman TD correctly predicts that extinguishing an overshadowing stimulus will allow the overshadowed stimulus to support second-order conditioning. (C) Posterior covariance between weights for stimuli A and X (left) and Kalman gain for stimulus X (right) as a function of Phase 1 trial. (D) Posterior covariance between weights for stimuli A and X (left) and Kalman gain for stimulus X (right) as a function of Phase 2 trial.

Fig 4

doi: https://doi.org/10.1371/journal.pcbi.1004567.g004