Christopher M. White

Reinforcement motor learning after cerebellar damage is related to state estimation

This study investigates the relationship between state estimation and reinforcement learning in individuals with cerebellar degeneration, finding that active benefit predicts better learning in the cerebellar group.

Modern Machine Learning: Partition & Vote

This paper explains decision forests and deep networks as partition and vote schemes, linking them to statistical pattern recognition and brain functioning.