Patrick J. Marino

The paper shows that posture and goal information in motor cortex are organized in separate, orthogonal subspaces, with posture information being stable across tasks.

This study investigates how reward influences movement vigor through multiple mechanisms in motor cortical areas by analyzing neural activity in rhesus monkeys.

This study challenges monkeys to reverse natural neural activity time courses in motor cortex using a BCI, finding they cannot violate these time courses, supporting the idea that neural activity reflects network-level computations.

The paper trains an autoregressive Transformer on neural spiking data to decode motor behavior, showing broad utility across tasks but highlighting limitations in scaling.

The paper investigates how high rewards affect neural activity in Rhesus monkeys during a reaching task, finding that large rewards reduce neural information about movement plans.