Daniel M. Wolpert - researchr alias

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Viewing Publication 1 - 30 from 30

2023

Interaction between decision-making and motor learning when selecting reach targets in the presence of bias and noiseTianyao Zhu, Jason P. Gallivan, Daniel M. Wolpert, J. Randall Flanagan. ploscb, 19(11), November 2023. [doi]

2020

Model-Free Robust Optimal Feedback Mechanisms of Biological Motor ControlTao Bian, Daniel M. Wolpert, Zhong-Ping Jiang. neco, 32(3):562-595, 2020. [doi]

Human decision making anticipates future performance in motor learningJoshua B. Moskowitz, Daniel J. Gale, Jason P. Gallivan, Daniel M. Wolpert, J. Randall Flanagan. ploscb, 16(2), 2020. [doi]

2019

2017

2016

Efficient state-space modularization for planning: theory, behavioral and neural signaturesDaniel McNamee, Daniel M. Wolpert, Máte Lengyel. nips 2016: 4511-4519 [doi]

When Optimal Feedback Control Is Not Enough: Feedforward Strategies Are Required for Optimal Control with Active SensingSang Hoon Yeo, David W. Franklin, Daniel M. Wolpert. ploscb, 12(12), 2016. [doi]

2014

On the Origins of Suboptimality in Human Probabilistic InferenceLuigi Acerbi, Sethu Vijayakumar, Daniel M. Wolpert. ploscb, 10(6), 2014. [doi]

2013

Selection and control of limb posture for stabilityDavid W. Franklin, Luc P. J. Selen, Sae Franklin, Daniel M. Wolpert. embc 2013: 5626-5629 [doi]

Modulation of somatosensory processing by actionSukhwinder S. Shergill, Thomas P. White, Daniel W. Joyce, Paul M. Bays, Daniel M. Wolpert, Christopher D. Frith. neuroimage, 70:356-362, 2013. [doi]

2012

Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval TimingLuigi Acerbi, Daniel M. Wolpert, Sethu Vijayakumar. ploscb, 8(11), 2012. [doi]

2011

A Single-Rate Context-Dependent Learning Process Underlies Rapid Adaptation to Familiar Object DynamicsJames N. Ingram, Ian S. Howard, J. Randall Flanagan, Daniel M. Wolpert. ploscb, 7(9), 2011. [doi]

Inferring Visuomotor Priors for Sensorimotor LearningEdward J. A. Turnham, Daniel A. Braun, Daniel M. Wolpert. ploscb, 7(3), 2011. [doi]

2010

Risk-Sensitive Optimal Feedback Control Accounts for Sensorimotor Behavior under UncertaintyArne J. Nagengast, Daniel A. Braun, Daniel M. Wolpert. ploscb, 6(7), 2010. [doi]

2009

Nash Equilibria in Multi-Agent Motor InteractionsDaniel A. Braun, Pedro A. Ortega, Daniel M. Wolpert. ploscb, 5(8), 2009. [doi]

Optimal Control Predicts Human Performance on Objects with Internal Degrees of FreedomArne J. Nagengast, Daniel A. Braun, Daniel M. Wolpert. ploscb, 5(6), 2009. [doi]

2006

Where does your own action influence your perception of another person's action in the brain?Antonia F. de C. Hamilton, Daniel M. Wolpert, Uta Frith, Scott T. Grafton. neuroimage, 29(2):524-535, 2006. [doi]

The Main Sequence of Saccades Optimizes Speed-accuracy Trade-offChristopher M. Harris, Daniel M. Wolpert. bc, 95(1):21-29, 2006. [doi]

2004

TOPS (Task Optimization in the Presence of Signal-Dependent Noise) modelHiroyuki Miyamoto, Eri Nakano, Daniel M. Wolpert, Mitsuo Kawato. scjapan, 35(11):48-58, 2004. [doi]

2003

Probabilistic Inference in Human Sensorimotor ProcessingKonrad P. Körding, Daniel M. Wolpert. nips 2004: 1327-1334 [doi]

2001

MOSAIC Model for Sensorimotor Learning and ControlMasahiko Haruno, Daniel M. Wolpert, Mitsuo Kawato. neco, 13(10):2201-2220, 2001. [doi]

1998

Multiple Paired Forward-Inverse Models for Human Motor Learning and ControlMasahiko Haruno, Daniel M. Wolpert, Mitsuo Kawato. nips 1999: 31-37 [doi]

Multiple paired forward and inverse models for motor controlDaniel M. Wolpert, Mitsuo Kawato. NN, 11(7-8):1317-1329, 1998. [doi]

1996

Forward Models for Physiological Motor ControlR. C. Miall, Daniel M. Wolpert. NN, 9(8):1265-1279, 1996. [doi]

1994

Computational Structure of coordinate transformations: A generalization studyZoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan. nips 1995: 1125-1132 [doi]

Forward dynamic models in human motor control: Psychophysical evidenceDaniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan. nips 1995: 43-50 [doi]

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