4 YEAR PhD IN NEUROSCIENCE
Institute of Cognitive Neuroscience, UCL
Motor control and learning
In my lab we are studying how the human motor systems learns to produce skilled movements. We are using custom-built robotic devices to measure movements and to apply specific force perturbations during the movement, thereby probing different learning mechanisms. We are using a combination of computational modeling, transcranial direct current stimulation (TDCS) and patient-based work to understand the learning processes and underlying neural substrates in detail. We also employ high-resolution functional magnetic resonance imaging (fMRI), and are developing new analysis methods for the study of motor learning and the function of the cerebellum.
- Robotic study of error-based, use-dependent, and reinforcement learning in the human motor system
- Functional imaging of the cerebellum during sensory and motor processes
- Investigating the role of the cerebellum as a predictor for perception and control.
Diedrichsen, J., White, O., Newman, D., & Lally, N. (2010). Use-dependent and error-based learning of motor behaviors. Journal of Neuroscience.
Diedrichsen, J. (2007). Optimal task-dependent changes of bimanual feedback control and adaptation. Current Biology, 17(19), 1675-1679.
Diedrichsen, J., Hashambhoy, Y. L., Rane, T., & Shadmehr, R. (2005). Neural correlates of reach errors. Journal of Neuroscience, 25(43), 9919-9931.