Sam Hall-McMaster

The paper shows that the entorhinal cortex signals generalisable aspects of past experience during early exposure to novel environments, improving decision-making accuracy.

This study investigates how reward influences neural oscillations and their impact on cognitive flexibility, finding that higher anticipated rewards lead to desynchronisation of alpha and beta oscillations, which correlate with improved task performance.

The paper shows humans reuse learned strategies for new tasks using a computational process involving successor features and generalised policy improvement, supported by neural activation patterns.

This study shows humans learn better from slowly changing reward-predicting features in reinforcement learning tasks, suggesting an inductive bias toward slow features.

The paper dissociates two strategies for reward-based decision timing using EEG and representational similarity analysis, showing latent reward tracking differs from distance-to-goal tracking.

This study shows that reward prospect enhances neural coding of task rules, improving cognitive flexibility during decision-making.