Computational and Biological Learning Lab
https://www.linkedin.com/in/hann... (personal home page)
In a nutshell: I work on the computational processes that underlie motor learning in humans and the relevance of motor memory representations for enabling skilled voluntary movement.
I'm also interested in models that translate between human and robotic computations. Ultimately I'd like to develop technology that surpasses differences in people's natural motor abilities or disabilities, or enables more naturalistic physical interactions with virtual reality.
I am supported by a Cambridge-Rutherford Memorial Scholarship, administered by the Royal Society of New Zealand. I am also a current Benefactor's Scholar of St John's College, Cambridge.
No collaborators listed
Associated News Items
Sheahan HR, Franklin DW, Wolpert DM (2016), “Motor planning, not execution, separates motor memories” Neuron 92(4): 773-779