Hannah Sheahan

The paper shows that goal-directed behavior compresses neural representations of space in the hippocampus and orbitofrontal cortex, with compressed representations predicting successful learning.

This study shows that both humans and recurrent neural networks develop aligned neural number lines to generalize magnitude concepts across contexts.

This study shows that residual errors in motor adaptation are due to implicit learning's error sensitivity, which depends on past error history, not forgetting.