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Poster B25 in Poster Session B - Thursday, August 8, 2024, 1:30 – 3:30 pm, Johnson Ice Rink
Contributions of Reinforcement Learning Variables to the Intracranial Reward Positivity
Rhiannon L. Cowan1 (), Tyler S. Davis1, Bornali Kundu2, John D. Rolston3, Shervin Rahimpour1, Elliot H. Smith1; 1University of Utah, 2University of Missouri, 3Harvard University
Reward Positivity (RewP) is frequently studied EEG potential that has been related to prediction error (RPE) signals. We examine how reinforcement learning model variables correlate with intracranial measures of the RewP. We found local field potential (LFP) and high broadband frequency (HFA: 70-150 Hz) signatures of RewP, that when fit with temporal difference variables, highlight canonical structures of reward processing and differences in RewP amplitude for more impulsive choosers. Notably, HFA RewP was predicted by RPE. These results elucidate the intracranial RewP, its role in reward processing, and association with impulsivity.
Keywords: reinforcement learning reward prediction errors reward positivity electrocorticography