I am interested in the computational principles that underlie sensorimotor learning and memory in the human brain. I conduct theory-driven behavioural experiments to investigate how people adapt their movements in environments that switch.
I also study the role of control points in the representations of object dynamics and the interaction between impedance control and motor adaptation. More generally, I am interested in leveraging insights and methods from machine learning in neuroscience.
A list of my publications can be found at Google Scholar.
- Heald JB, Ingram JN, Flanagan JR, Wolpert DM (2018) “Multiple motor memories are learned to control different points on a tool.” Nat Hum Behav. 2(4): 300-311