Bayesian decision theory in sensorimotor control

Prospect Theory: An Analysis of Decision under Risk

Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524

Prospect theory: An analysis of decision under risk

Kahneman, D., & Tversky, A. (1988) · Decision, Probability and Utility · doi:10.1017/cbo9780511609220.014 · Cited by 32,474

A New Approach to Linear Filtering and Prediction Problems

Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751

Reinforcement Learning: An Introduction

Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225

Reinforcement Learning: An Introduction

(2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 24,496

An Introduction to the Principles of Morals and Legislation

de Champs, E. (2017) · HAL · Cited by 6,669

Information theory, inference, and learning algorithms

(2004) · Choice Reviews Online · doi:10.5860/choice.41-5949 · Cited by 6,362

Information Theory, Inference, and Learning Algorithms

(2004) · Kybernetes · doi:10.1108/03684920410534506 · Cited by 4,937

Humans integrate visual and haptic information in a statistically optimal fashion

Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844

The coordination of arm movements: an experimentally confirmed mathematical model

Flash, T., & Hogan, N. (1985) · The Journal of Neuroscience · doi:10.1523/jneurosci.05-07-01688.1985 · Cited by 4,395

Information Theory

ASH, R. B. (1966) · Cited by 3,990

An internal model for sensorimotor integration

Wolpert, D. M., Ghahramani, Z., & Jordan, M. I. (1995) · Science · doi:10.1126/science.7569931 · Cited by 3,553

Optimal feedback control as a theory of motor coordination

Todorov, E., & Jordan, M. I. (2002) · Nature Neuroscience · doi:10.1038/nn963 · Cited by 3,081

Apprenticeship learning via inverse reinforcement learning

Abbeel, P., & Ng, A. Y. (2004) · Twenty-first international conference on Machine learning - ICML '04 · doi:10.1145/1015330.1015430 · Cited by 2,769

Signal-dependent noise determines motor planning

Harris, C. M., & Wolpert, D. M. (1998) · Nature · doi:10.1038/29528 · Cited by 2,498

Bayesian integration in sensorimotor learning

Körding, K. P., & Wolpert, D. M. (2004) · Nature · doi:10.1038/nature02169 · Cited by 2,004

The Ventriloquist Effect Results from Near-Optimal Bimodal Integration

Alais, D., & Burr, D. (2004) · Current Biology · doi:10.1016/j.cub.2004.01.029 · Cited by 1,936

Uncertainty, Neuromodulation, and Attention

Yu, A. J., & Dayan, P. (2005) · Neuron · doi:10.1016/j.neuron.2005.04.026 · Cited by 1,774

Optimality principles in sensorimotor control

Todorov, E. (2004) · Nature Neuroscience · doi:10.1038/nn1309 · Cited by 1,746

Perception as Bayesian Inference

(1996) · doi:10.1017/cbo9780511984037 · Cited by 1,425

An organizing principle for a class of voluntary movements

Hogan, N. (1984) · The Journal of Neuroscience · doi:10.1523/jneurosci.04-11-02745.1984 · Cited by 1,330

Probability, Frequency and Reasonable Expectation

Cox, R. T. (1946) · American Journal of Physics · doi:10.1119/1.1990764 · Cited by 1,308

Object perception as Bayesian inference

Kersten, D., Mamassian, P., & Yuille, A. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142005 · Cited by 1,269

A unifying computational framework for motor control and social interaction

Wolpert, D. M., Doya, K., & Kawato, M. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1238 · Cited by 1,228

The Roles of Vision and Eye Movements in the Control of Activities of Daily Living

Land, M., Mennie, N., & Rusted, J. (1999) · Perception · doi:10.1068/p2935 · Cited by 1,094

Optimal feedback control and the neural basis of volitional motor control

Scott, S. H. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1427 · Cited by 1,068

Optimal Control Theory

Kirk, D. E. (1970) · Cited by 910

Vision as Bayesian inference: analysis by synthesis?

Yuille, A., & Kersten, D. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.002 · Cited by 849

Noise characteristics and prior expectations in human visual speed perception

Stocker, A. A., & Simoncelli, E. P. (2006) · Nature Neuroscience · doi:10.1038/nn1669 · Cited by 797

Integration of Proprioceptive and Visual Position-Information: An Experimentally Supported Model

van Beers, R. J., Sittig, A. C., & Gon, J. J. D. V. D. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.3.1355 · Cited by 742

Perceptual Organization and the Judgment of Brightness

Adelson, E. H. (1993) · Science · doi:10.1126/science.8266102 · Cited by 568

Bayesian color constancy

Brainard, D. H., & Freeman, W. T. (1997) · Journal of the Optical Society of America A · doi:10.1364/josaa.14.001393 · Cited by 521

Flexible strategies for sensory integration during motor planning

Sober, S. J., & Sabes, P. N. (2005) · Nature Neuroscience · doi:10.1038/nn1427 · Cited by 480

Slant from texture and disparity cues: Optimal cue combination

Hillis, J. M., Watt, S. J., Landy, M. S., & Banks, M. S. (2004) · Journal of Vision · doi:10.1167/4.12.1 · Cited by 421

Inflation Forecasts and Monetary Policy

Bernanke, B., & Woodford, M. (1997) · National Bureau of Economic Research · doi:10.3386/w6157 · Cited by 413

Do humans optimally integrate stereo and texture information for judgments of surface slant?

Knill, D. C., & Saunders, J. A. (2003) · Vision Research · doi:10.1016/s0042-6989(03)00458-9 · Cited by 404

Stochastic Optimal Control and Estimation Methods Adapted to the Noise Characteristics of the Sensorimotor System

Todorov, E. (2005) · Neural Computation · doi:10.1162/0899766053491887 · Cited by 398

Experience can change the 'light-from-above' prior

Adams, W. J., Graf, E. W., & Ernst, M. O. (2004) · Nature Neuroscience · doi:10.1038/nn1312 · Cited by 377

Effective reinforcement learning for mobile robots

Smart, W. D., & Pack Kaelbling, L. (2003) · Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292) · doi:10.1109/robot.2002.1014237 · Cited by 365

Principles of metareasoning

Russell, S., & Wefald, E. (1991) · Artificial Intelligence · doi:10.1016/0004-3702(91)90015-c · Cited by 358

Relationship of firing intervals of human motor units to the trajectory of post‐spike after‐hyperpolarization and synaptic noise.

Matthews, P. B. (1996) · The Journal of Physiology · doi:10.1113/jphysiol.1996.sp021332 · Cited by 325

Optimal integration of texture and motion cues to depth

Jacobs, R. A. (1999) · Vision Research · doi:10.1016/s0042-6989(99)00088-7 · Cited by 324

Bayesian models of object perception

Kersten, D., & Yuille, A. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00042-4 · Cited by 307

Visual Feedback Control of Hand Movements

Saunders, J. A., & Knill, D. C. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4319-03.2004 · Cited by 293

Statistical decision theory and the selection of rapid, goal-directed movements

Trommershäuser, J., Maloney, L. T., & Landy, M. S. (2003) · Journal of the Optical Society of America A · doi:10.1364/josaa.20.001419 · Cited by 283

Human altruism: economic, neural, and evolutionary perspectives

Fehr, E., & Rockenbach, B. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.10.007 · Cited by 283

How humans combine simultaneous proprioceptive and visual position information

van Beers, R. J., Sittig, A. C., & van der Gon Denier, J. J. (1996) · Experimental Brain Research · doi:10.1007/bf00227302 · Cited by 279

Comparative Advantage, Learning, and Sectoral Wage Determination

Gibbons, R., Katz, L. F., Lemieux, T., & Parent, D. (2005) · Journal of Labor Economics · doi:10.1086/491606 · Cited by 261

Feedback gains for correcting small perturbations to standing posture

He, J., Levine, W. S., & Loeb, G. E. (1991) · IEEE Transactions on Automatic Control · doi:10.1109/9.73565 · Cited by 256

Bayesian decision theory and psychophysics

Yuille, A. L., & Bülthoff, H. H. (1996) · Perception as Bayesian Inference · doi:10.1017/cbo9780511984037.006 · Cited by 250

Illusions, perception and Bayes

Geisler, W. S., & Kersten, D. (2002) · Nature Neuroscience · doi:10.1038/nn0602-508 · Cited by 249

Statistical Analysis of Motor Unit Firing Patterns in a Human Skeletal Muscle

Clamann, H. P. (1969) · Biophysical Journal · doi:10.1016/s0006-3495(69)86448-9 · Cited by 239

The loss function of sensorimotor learning

Körding, K. P., & Wolpert, D. M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308394101 · Cited by 191

Bayesian Methods: General Background

Jaynes, E. T. (1986) · Maximum Entropy and Bayesian Methods in Applied Statistics · doi:10.1017/cbo9780511569678.003 · Cited by 185

Humans use continuous visual feedback from the hand to control both the direction and distance of pointing movements

Saunders, J. A., & Knill, D. C. (2005) · Experimental Brain Research · doi:10.1007/s00221-004-2064-1 · Cited by 152

The computation of position sense from spindles in mono- and multiarticular muscles

Scott, S., & Loeb, G. (1994) · The Journal of Neuroscience · doi:10.1523/jneurosci.14-12-07529.1994 · Cited by 144

Bayesian Integration in Force Estimation

Kording, K. P., Ku, S.-P., & Wolpert, D. M. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00275.2004 · Cited by 141

A Prior for Global Convexity in Local Shape-from-Shading

Langer, M., & Bülthoff, H. (2001) · Perception · doi:10.1068/p3178 · Cited by 137

System Identification Applied to a Visuomotor Task: Near-Optimal Human Performance in a Noisy Changing Task

Baddeley, R. J., Ingram, H. A., & Miall, R. C. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-07-03066.2003 · Cited by 134

Testing Bayesian Models of Human Coincidence Timing

Miyazaki, M., Nozaki, D., & Nakajima, Y. (2005) · Journal of Neurophysiology · doi:10.1152/jn.01168.2004 · Cited by 132

From task parameters to motor synergies: A hierarchical framework for approximately optimal control of redundant manipulators

Todorov, E. V., Li, W., & Pan, X. (2005) · Journal of Robotic Systems · doi:10.1002/rob.20093 · Cited by 124

Decomposition-based motion planning: a framework for real-time motion planning in high-dimensional configuration spaces

Brock, O., & Kavraki, L. E. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2001.932817 · Cited by 114

Range image statistics can explain the anomalous perception of length

Howe, C. Q., & Purves, D. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.162474299 · Cited by 102

Intuitive Theories as Grammars for Causal Inference

Tenenbaum, J. B., Griffiths, T. L., & Niyogi, S. A. (2007) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195176803.003.0020 · Cited by 100

A motor learning strategy reflects neural circuitry for limb control

Singh, K., & Scott, S. H. (2003) · Nature Neuroscience · doi:10.1038/nn1026 · Cited by 92

Human contrast discrimination and the threshold of cortical neurons

Barlow, H. B., Hawken, M., Parker, A. J., & Kaushal, T. P. (1987) · Journal of the Optical Society of America A · doi:10.1364/josaa.4.002366 · Cited by 79

Some issues in the foundation of statistics

Freedman, D. A. (1995) · Foundations of Science · doi:10.1007/bf00208723 · Cited by 68

A Neuroeconomics Approach to Inferring Utility Functions in Sensorimotor Control

Kording, K. P., Fukunaga, I., Howard, I. S., Ingram, J. N., & Wolpert, D. M. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020330 · Cited by 66

Limits to human movement planning in tasks with asymmetric gain landscapes

Wu, S., Trommershäuser, J., Maloney, L. T., & Landy, M. S. (2006) · Journal of Vision · doi:10.1167/6.1.5 · Cited by 65

Questions without Words

Maloney, L. T., Trommershäuser, J., & Landy, M. S. (2007) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195189193.003.0021 · Cited by 57

Some Issues in the Foundation of Statistics

Freedman, D. A. (1997) · Springer eBooks · doi:10.1007/978-94-015-8816-4_4 · Cited by 56

Jacobian Methods in Thermodynamics

Crawford, F. H. (1949) · American Journal of Physics · doi:10.1119/1.1989489 · Cited by 34

Visualization of two-dimensional vortex flows in thin oscillating liquid films

Kiyashko, S. V., & Nazarovsky, A. V. (2003) · Journal of Visualization · doi:10.1007/bf03180964 · Cited by 11

Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700

Principles of sensorimotor learning

Wolpert, D. M., Diedrichsen, J., & Flanagan, J. R. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3112 · Cited by 1,391

Deep neural networks: a new framework for modeling biological vision and brain information processing

Kriegeskorte, N. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035447 · Cited by 1,093

Consciousness without a cerebral cortex: A challenge for neuroscience and medicine

Merker, B. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07000891 · Cited by 868

Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques

Hutchison, R. M., Womelsdorf, T., Gati, J. S., Everling, S., & Menon, R. S. (2013) · Human Brain Mapping · doi:10.1002/hbm.22058 · Cited by 721