Sophie Loman

The paper investigates how neural responses differ during learning of modular and non-modular graph structures using fMRI data, finding distinct connectivity patterns associated with performance on different graph types.

The paper shows that the structure of a temporal sequence affects how well stimuli are represented in the brain, with modular graphs leading to better prediction and higher dimensionality in visual areas.