Daniel M. Wolpert
Affiliations: | Columbia University, New York, NY |
Area:
Motor ControlWebsite:
http://wolpertlab.orgGoogle:
"Daniel Wolpert"Mean distance: 12.54 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| John F. Stein | grad student | Oxford | |
| John F. Stein | grad student | University of Ocford | |
| R. Chris Miall | grad student | 1989-1992 | Oxford |
| Michael I. Jordan | post-doc | 1992-1995 | MIT |
Children
Sign in to add trainee| Zhaoran Zhang | grad student | ||
| Sarah-Jayne Blakemore | grad student | 1996-2000 | UCL |
| Antonia F. Hamilton | grad student | 2000-2003 | UCL |
| Paul M. Bays | grad student | 2003-2006 | UCL |
| Ian Spencer Howard | grad student | 2003-2012 | Cambridge |
| Noham Wolpe | grad student | 2010-2013 | Cambridge |
| Diana C. Burk | grad student | 2011-2013 | Cambridge |
| Luigi Acerbi | grad student | 2010-2014 | Cambridge |
| Mohsen Sadeghi | grad student | 2014-2018 | Colombia University |
| Hannah Sheahan | grad student | 2014-2018 | Cambridge |
| James B Heald | grad student | 2015-2019 | Cambridge |
| Alaa A. Ahmed | post-doc | Cambridge | |
| Aldo A. Faisal | post-doc | Cambridge | |
| David W. Franklin | post-doc | Cambridge | |
| Luc PJ Selen | post-doc | 2006- | Cambridge |
| Ronald van den Berg | post-doc | 2012- | Cambridge |
| Tobe C B Freeman | post-doc | 1997-1999 | UCL |
| Robert J. van Beers | post-doc | 1998-2002 | UCL |
| Pierre Baraduc | post-doc | 2000-2002 | Institute of Neurology, UCL |
| Kelvin E. Jones | post-doc | 2000-2002 | University College London (UCL) |
| Konrad P. Kording | post-doc | 2002-2004 | UCL |
| Daniel Braun | post-doc | 2008-2010 | Cambridge |
Collaborators
Sign in to add collaborator| Chris Frith | collaborator | UCL | |
| Carsten Mehring | collaborator | ||
| Amanda S. Therrien | collaborator | Cambridge | |
| Jeroen Olieslagers | collaborator | 2020-2021 | Cambridge |
BETA: Related publications
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Publications
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| Steinemann N, Stine GM, Trautmann E, et al. (2024) Direct observation of the neural computations underlying a single decision. Elife. 12 |
| Hill NM, Tripp HM, Wolpert DM, et al. (2024) Age-dependent predictors of effective reinforcement motor learning across childhood. Biorxiv : the Preprint Server For Biology |
| Löffler A, Zylberberg A, Shadlen MN, et al. (2023) Judging the difficulty of perceptual decisions. Elife. 12 |
| Cesanek E, Flanagan JR, Wolpert DM. (2023) Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties. Scientific Reports. 13: 8619 |
| Heald JB, Wolpert DM, Lengyel M. (2023) The Computational and Neural Bases of Context-Dependent Learning. Annual Review of Neuroscience |
| Löffler A, Zylberberg A, Shadlen MN, et al. (2023) Judging the difficulty of perceptual decisions. Biorxiv : the Preprint Server For Biology |
| Heald JB, Lengyel M, Wolpert DM. (2022) Contextual inference in learning and memory. Trends in Cognitive Sciences |
| Zhang Z, Cesanek E, Ingram JN, et al. (2022) Object weight can be rapidly predicted, with low cognitive load, by exploiting learned associations between the weights and locations of objects. Journal of Neurophysiology |
| Heald JB, Lengyel M, Wolpert DM. (2021) Contextual inference underlies the learning of sensorimotor repertoires. Nature. 600: 489-493 |
| Cesanek E, Zhang Z, Ingram JN, et al. (2021) Motor memories of object dynamics are categorically organized. Elife. 10 |