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ORCIDDaniel M. Wolpert
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2020 – today
- 2023
[j22]Tianyao Zhu
, Jason P. Gallivan, Daniel M. Wolpert, J. Randall Flanagan:
Interaction between decision-making and motor learning when selecting reach targets in the presence of bias and noise. PLoS Comput. Biol. 19(11) (2023)- 2020
- [j21]Tao Bian, Daniel M. Wolpert, Zhong-Ping Jiang:
Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control. Neural Comput. 32(3): 562-595 (2020) - [j20]Joshua B. Moskowitz, Daniel J. Gale, Jason P. Gallivan, Daniel M. Wolpert, J. Randall Flanagan:
Human decision making anticipates future performance in motor learning. PLoS Comput. Biol. 16(2) (2020)
2010 – 2019
- 2019
- [j19]Daniel C. McNamee, Daniel M. Wolpert:
Internal Models in Biological Control. Annu. Rev. Control. Robotics Auton. Syst. 2: 339-364 (2019) - [j18]Sukhwinder S. Shergill, Thomas P. White, Daniel W. Joyce, Paul M. Bays, Daniel M. Wolpert, Chris D. Frith:
Corrigendum to "Modulation of somatosensory processing by action" [Elsevier, 70 (2013) 356-362]. NeuroImage 197: 827 (2019) - [c8]Yul Kang, Daniel M. Wolpert, Máté Lengyel:
Confirmation Bias Trumps Performance Optimization in Overt Active Learning. CogSci 2019: 3490 - 2017
- [j17]Jonathan Diamond, Daniel M. Wolpert, J. Randall Flanagan:
Rapid target foraging with reach or gaze: The hand looks further ahead than the eye. PLoS Comput. Biol. 13(7) (2017) - [j16]James N. Ingram, Mohsen Sadeghi, J. Randall Flanagan, Daniel M. Wolpert:
An error-tuned model for sensorimotor learning. PLoS Comput. Biol. 13(12) (2017) - [c7]Oana Stanciu, Máté Lengyel, Daniel M. Wolpert, József Fiser:
Perceptual decision making from correlated samples. CogSci 2017 - 2016
- [j15]Sang Hoon Yeo, David W. Franklin, Daniel M. Wolpert:
When Optimal Feedback Control Is Not Enough: Feedforward Strategies Are Required for Optimal Control with Active Sensing. PLoS Comput. Biol. 12(12) (2016) - [c6]Daniel C. McNamee, Daniel M. Wolpert, Máté Lengyel:
Efficient state-space modularization for planning: theory, behavioral and neural signatures. NIPS 2016: 4511-4519 - 2014
- [j14]Luigi Acerbi, Sethu Vijayakumar, Daniel M. Wolpert:
On the Origins of Suboptimality in Human Probabilistic Inference. PLoS Comput. Biol. 10(6) (2014) - 2013
- [j13]Sukhwinder S. Shergill, Thomas P. White, Daniel W. Joyce, Paul M. Bays, Daniel M. Wolpert, Christopher D. Frith:
Modulation of somatosensory processing by action. NeuroImage 70: 356-362 (2013) - [c5]David W. Franklin, Luc P. J. Selen, Sae Franklin, Daniel M. Wolpert:
Selection and control of limb posture for stability. EMBC 2013: 5626-5629 - 2012
- [j12]Luigi Acerbi, Daniel M. Wolpert, Sethu Vijayakumar:
Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing. PLoS Comput. Biol. 8(11) (2012) - 2011
- [j11]Edward J. A. Turnham, Daniel A. Braun, Daniel M. Wolpert:
Inferring Visuomotor Priors for Sensorimotor Learning. PLoS Comput. Biol. 7(3) (2011) - [j10]James N. Ingram, Ian S. Howard, J. Randall Flanagan, Daniel M. Wolpert:
A Single-Rate Context-Dependent Learning Process Underlies Rapid Adaptation to Familiar Object Dynamics. PLoS Comput. Biol. 7(9) (2011) - 2010
- [j9]Arne J. Nagengast, Daniel A. Braun, Daniel M. Wolpert:
Risk-Sensitive Optimal Feedback Control Accounts for Sensorimotor Behavior under Uncertainty. PLoS Comput. Biol. 6(7) (2010)
2000 – 2009
- 2009
- [j8]Arne J. Nagengast, Daniel A. Braun, Daniel M. Wolpert:
Optimal Control Predicts Human Performance on Objects with Internal Degrees of Freedom. PLoS Comput. Biol. 5(6) (2009) - [j7]Daniel A. Braun, Pedro A. Ortega, Daniel M. Wolpert:
Nash Equilibria in Multi-Agent Motor Interactions. PLoS Comput. Biol. 5(8) (2009) - 2006
- [j6]Christopher M. Harris, Daniel M. Wolpert:
The Main Sequence of Saccades Optimizes Speed-accuracy Trade-off. Biol. Cybern. 95(1): 21-29 (2006) - [j5]Antonia F. de C. Hamilton, Daniel M. Wolpert, Uta Frith, Scott T. Grafton:
Where does your own action influence your perception of another person's action in the brain? NeuroImage 29(2): 524-535 (2006) - 2004
- [j4]Hiroyuki Miyamoto, Eri Nakano, Daniel M. Wolpert, Mitsuo Kawato:
TOPS (Task Optimization in the Presence of Signal-Dependent Noise) model. Syst. Comput. Jpn. 35(11): 48-58 (2004) - 2003
- [c4]Konrad P. Körding, Daniel M. Wolpert:
Probabilistic Inference in Human Sensorimotor Processing. NIPS 2003: 1327-1334 - 2001
- [j3]Masahiko Haruno, Daniel M. Wolpert, Mitsuo Kawato:
MOSAIC Model for Sensorimotor Learning and Control. Neural Comput. 13(10): 2201-2220 (2001)
1990 – 1999
- 1998
- [j2]Daniel M. Wolpert, Mitsuo Kawato:
Multiple paired forward and inverse models for motor control. Neural Networks 11(7-8): 1317-1329 (1998) - [c3]Masahiko Haruno, Daniel M. Wolpert, Mitsuo Kawato:
Multiple Paired Forward-Inverse Models for Human Motor Learning and Control. NIPS 1998: 31-37 - 1996
- [j1]R. Chris Miall, Daniel M. Wolpert:
Forward Models for Physiological Motor Control. Neural Networks 9(8): 1265-1279 (1996) - 1994
- [c2]Daniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan:
Forward dynamic models in human motor control: Psychophysical evidence. NIPS 1994: 43-50 - [c1]Zoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan:
Computational Structure of coordinate transformations: A generalization study. NIPS 1994: 1125-1132
Coauthor Index
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