Oscillatory signatures of reward prediction errors in declarative learning

Failure to modulate reward prediction errors in declarative learning with theta (6 Hz) frequency transcranial alternating current stimulation

“…Memory for multimodal (audio-visual) stimuli was enhanced only when these stimuli were modulated at the theta frequency and not at other frequencies. Furthermore, in an earlier EEG study from our lab, we examined the neural signatures of RPEs in declarative learning and found increased theta (4-8 Hz) power during reward feedback [8]. However, it must be noted that in this particular EEG study, theta frequency followed an unsigned RPE (URPE) pattern during reward feedback.…”

“…Larger and more positive RPEs during study improved subsequent declarative memory during testing. The effect of RPEs in this experimental paradigm was further substantiated in a follow-up EEG study, where oscillatory signatures at reward feedback were detected in the theta (4)(5)(6)(7)(8), high-beta (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and high-alpha (10)(11)(12)(13)(14)(15) frequency ranges, suggesting the experience of RPEs by the participants [8]. Further validation came from an fMRI study using a similar paradigm in which famous faces were associated with Swahili village names [9].…”

Failure to modulate reward prediction errors in declarative learning with theta (6 Hz) frequency transcranial alternating current stimulation

“…Memory for multimodal (audiovisual) stimuli was enhanced only when these stimuli were modulated at the theta frequency and not at other frequencies. Furthermore, in an earlier EEG study from our lab, we examined the neural signatures of RPEs in declarative learning and found increased theta (4-8 Hz) power during reward feedback [11]. However, it must be noted that in this particular EEG study, theta frequency followed an unsigned RPE (URPE) pattern during reward feedback.…”

“…Larger and more positive RPEs during study improved subsequent declarative memory during testing. The effect of RPEs in this experimental paradigm was further substantiated in a follow-up EEG study, where oscillatory signatures at reward feedback were detected in the theta (4)(5)(6)(7)(8), high-beta (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and high-alpha (10-15 Hz) frequency ranges, suggesting the experience of RPEs by the participants [11]. Further validation came from an fMRI study using a similar paradigm in which famous faces were associated with Swahili village names [12].…”

Expected Value of Reward Predicts Episodic Memory for Incidentally Learnt Reward-Item Associations

“…The results from our experiment-showing a specific effect of expected value-contribute to the growing body of evidence that signals related to reward prediction error, reward outcomes (Mason et al, 2017b) and expected value (Jang, Nassar, Dillon, & Frank, 2018) are consistently shown to affect reward-based memory consolidation. There has been extensive research on both the role of prediction errors in learning and decisionmaking (Diederen et al, 2017;Rouhani et al, 2018) and the potential relationship between prediction errors and episodic memory formation on a trial-by-trial basis (Bunzeck et al, 2010;Ergo, De Loof, Janssens, & Verguts, 2019;Jang et al, 2018;Mason et al, 2017b;Rouhani et al, 2018;Wimmer, Braun, Daw, & Shohamy, 2014). A few studies have found evidence in favour of the this, however, there appears to be more consistent evidence Table 2: Linear mixed effects model comparison.…”