title: Trial-by-Trial Modulation of Associative Memory Formation by Reward Prediction Error and Reward Anticipation as Revealed by a Biologically Plausible Computational Model.
abstract: Anticipation and delivery of rewards improves memory formation, but little effort has been made to disentangle their respective contributions to memory enhancement. Moreover, it has been suggested that the effects of reward on memory are mediated by dopaminergic influences on hippocampal plasticity. Yet, evidence linking memory improvements to actual reward computations reflected in the activity of the dopaminergic system, i.e., prediction errors and expected values, is scarce and inconclusive. For example, different previous studies reported that the magnitude of prediction errors during a reinforcement learning task was a positive, negative, or non-significant predictor of successfully encoding simultaneously presented images. Individual sensitivities to reward and punishment have been found to influence the activation of the dopaminergic reward system and could therefore help explain these seemingly discrepant results. Here, we used a novel associative memory task combined with computational modeling and showed independent effects of reward-delivery and reward-anticipation on memory. Strikingly, the computational approach revealed positive influences from both reward delivery, as mediated by prediction error magnitude, and reward anticipation, as mediated by magnitude of expected value, even in the absence of behavioral effects when analyzed using standard methods, i.e., by collapsing memory performance across trials within conditions. We additionally measured trait estimates of reward and punishment sensitivity and found that individuals with increased reward (vs. punishment) sensitivity had better memory for associations encoded during positive (vs. negative) prediction errors when tested after 20 min, but a negative trend when tested after 24 h. In conclusion, modeling trial-by-trial fluctuations in the magnitude of reward, as we did here for prediction errors and expected value computations, provides a comprehensive and biologically plausible description of the dynamic interplay between reward, dopamine, and associative memory formation. Our results also underline the importance of considering individual traits when assessing reward-related influences on memory.
authors.affiliation: Department of Neuroscience, Faculty of Medicine, University of GenevaGeneva, Switzerland; Swiss Center for Affective Sciences, University of GenevaGeneva, Switzerland; Geneva Neuroscience Center, University of GenevaGeneva, Switzerland.
authors.forename: Kristoffer C
authors.initials: KC
authors.lastname: Aberg
authors.affiliation: Department of Neuroscience, Faculty of Medicine, University of GenevaGeneva, Switzerland; Swiss Center for Affective Sciences, University of GenevaGeneva, Switzerland; Geneva Neuroscience Center, University of GenevaGeneva, Switzerland.
authors.forename: Julia
authors.initials: J
authors.lastname: Müller
authors.affiliation: Department of Neuroscience, Faculty of Medicine, University of GenevaGeneva, Switzerland; Swiss Center for Affective Sciences, University of GenevaGeneva, Switzerland; Geneva Neuroscience Center, University of GenevaGeneva, Switzerland.
authors.forename: Sophie
authors.initials: S
authors.lastname: Schwartz
keywords: associative memory; computational model; dopamine; personality trait; prediction error; punishment; reward; reward anticipation