Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex.

ABSTRACT: The signed value and unsigned salience of reward prediction errors (RPEs) are critical to understanding reinforcement learning (RL) and cognitive control. Dorsomedial prefrontal cortex (dMPFC) and insula (INS) are key regions for integrating reward and surprise information, but conflicting evidence for both signed and unsigned activity has led to multiple proposals for the nature of RPE representations in these brain areas. Recently developed RL models allow neurons to respond differently to positive and negative RPEs. Here, we use intracranially recorded high frequency activity (HFA) to test whether this flexible asymmetric coding strategy captures RPE coding diversity in human INS and dMPFC. At the region level, we found a bias towards positive RPEs in both areas which paralleled behavio

SUBMITTER: Hoy CW 

PROVIDER: S-EPMC10739882 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature