Jordan E. Crivelli-Decker

The paper improves binding affinity predictions by using synthetic data, showing that combining synthetic and experimental data enhances model performance.

The paper introduces SAIR, a synthetic dataset of protein-ligand structures with activity data, to improve deep learning models for binding affinity prediction.

This study shows that curiosity increases ERP components associated with reward processing and correlates with better memory recall of trivia answers.

The paper shows that hippocampal representations modulate visual cortex activity to anticipate expected sensory items during navigation.

This study shows that the hippocampus integrates distant events into a narrative structure during memory formation and recall.

This study examines how the human hippocampus encodes contextual and goal information during goal-directed navigation, showing context-specific future goal representations and anticipatory activity patterns.