“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!

Grants for Pieter and Cristian!

Congratulations to Pieter and Cristian who succesfully acquired personal funding from the FWO-Vlaanderen! Pieter received funding for a PhD position on his project entitled ‘learning to synchronise: computational and EEG investigations of human flexibility’. Cris secured funding for a post-doc position on his project entitled ‘The Value of Time: A neurocomputational model of action sequences’. Congratulations to both!