Professor Daniel Wolpert
University position
Professor
Professor Daniel Wolpert is pleased to consider applications from prospective PhD students.
Departments
Home page
http://www.wolpertlab.com (personal home page)
Research Themes
Interests
The group uses engineering approaches to understand how the human brain controls movement. The work includes both computational modelling and experimental approaches using robotic and virtual reality interfaces. Research areas include motor planning and optimal control,
probabilistic (Bayesian) models, motor predictive and modular approaches to motor learning.
Research Focus
Keywordsmotor control human computational methods neural circuit |
Clinical conditionsNo direct clinical relevance |
Equipment
Behavioural analysis
Computational modelling
Collaborators
No collaborators listed
Key publications
Körding KP, Wolpert DM (2004), “Bayesian integration in sensorimotor learning” Nature 427:244-247 Details
Publications
2010
Wolpert DM, Flanagan JR (2010), “Motor learning.” Curr Biol 20(11):R467-72 Details
2009
Resulaj A, Kiani R, Wolpert DM, Shadlen MN (2009), “Changes of mind in decision-making.” Nature 461(7261):263-6 Details
2008
Faisal AA, Selen LP, Wolpert DM (2008), “Noise in the nervous system.” Nat Rev Neurosci 9(4):292-303 Details
Research and Collaboration
News, events and seminars
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