Patrick T. Sadtler

A theory of brain-computer interface learning via low-dimensional control

This paper develops a theory explaining BCI learning through low-dimensional control strategies, validated with experimental data.

Learning alters neural activity to simultaneously support memory and action

The paper shows that learning a new BCI map alters neural activity in a way that preserves performance on a familiar map, suggesting a mechanism for learning multiple motor behaviors without interference.

Learning is shaped by abrupt changes in neural engagement

The paper investigates how internal states like arousal affect neural engagement during learning in non-human primates using a BCI paradigm, finding that abrupt changes in engagement influence learning speed for different task goals.