“Oscillatory signatures of reward prediction errors in declarative learning” – New paper in NeuroImage

Congrats to Kate and Esther et al. with their new paper that just got accepted in NeuroImage! In this work, they investigated the time course of neural oscillations in processing reward during declarative learning. Earlier research showed that signed reward prediction errors (SRPE’s; “better-than-expected” signals) drive declarative learning. In the current paper, the occurrence of reward prediction errors (RPEs) was further validated by oscillatory signatures in the theta, high-beta and high-alpha bands. The paper can be found here!

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