Published in PLoS Comput Biol on June 19, 2014
Does the Sensorimotor System Minimize Prediction Error or Select the Most Likely Prediction During Object Lifting? J Neurophysiol (2016) 0.82
On the Structure of Neuronal Population Activity under Fluctuations in Attentional State. J Neurosci (2016) 0.80
Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism. PLoS Comput Biol (2015) 0.77
Fast and Accurate Learning When Making Discrete Numerical Estimates. PLoS Comput Biol (2016) 0.77
Structure Learning in Bayesian Sensorimotor Integration. PLoS Comput Biol (2015) 0.77
Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments. Front Comput Neurosci (2016) 0.76
Do Cost Functions for Tracking Error Generalize across Tasks with Different Noise Levels? PLoS One (2015) 0.76
Posterior Probability Matching and Human Perceptual Decision Making. PLoS Comput Biol (2015) 0.76
Generalization of prior information for rapid Bayesian time estimation. Proc Natl Acad Sci U S A (2016) 0.76
Acquisition, representation, and transfer of models of visuo-motor error. J Vis (2015) 0.75
Target Uncertainty Mediates Sensorimotor Error Correction. PLoS One (2017) 0.75
Dissociating error-based and reinforcement-based loss functions during sensorimotor learning. PLoS Comput Biol (2017) 0.75
Learning predictive statistics: strategies and brain mechanisms. J Neurosci (2017) 0.75
Learning predictive statistics from temporal sequences: Dynamics and strategies. J Vis (2017) 0.75
Effect of depth information on multiple-object tracking in three dimensions: A probabilistic perspective. PLoS Comput Biol (2017) 0.75
The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia (1971) 86.03
The psychometric function: I. Fitting, sampling, and goodness of fit. Percept Psychophys (2001) 11.40
Bayesian inference with probabilistic population codes. Nat Neurosci (2006) 8.39
Bayesian integration in sensorimotor learning. Nature (2004) 8.02
Noise in the nervous system. Nat Rev Neurosci (2008) 7.66
Motion illusions as optimal percepts. Nat Neurosci (2002) 5.87
Bayesian model selection for group studies. Neuroimage (2009) 5.46
Noise characteristics and prior expectations in human visual speed perception. Nat Neurosci (2006) 4.43
Bayesian decision theory in sensorimotor control. Trends Cogn Sci (2006) 3.00
Statistically optimal perception and learning: from behavior to neural representations. Trends Cogn Sci (2010) 2.72
Decision making, movement planning and statistical decision theory. Trends Cogn Sci (2008) 2.67
Optimal compensation for changes in task-relevant movement variability. J Neurosci (2005) 2.46
Temporal context calibrates interval timing. Nat Neurosci (2010) 2.41
Combining priors and noisy visual cues in a rapid pointing task. J Neurosci (2006) 2.39
Cardinal rules: visual orientation perception reflects knowledge of environmental statistics. Nat Neurosci (2011) 2.30
Experience can change the 'light-from-above' prior. Nat Neurosci (2004) 2.25
The loss function of sensorimotor learning. Proc Natl Acad Sci U S A (2004) 2.17
A modular planar robotic manipulandum with end-point torque control. J Neurosci Methods (2009) 2.02
Measuring the crowd within: probabilistic representations within individuals. Psychol Sci (2008) 1.84
Probability matching as a computational strategy used in perception. PLoS Comput Biol (2010) 1.61
The smart potential behind probability matching. Cognition (2008) 1.59
A common visual metric for approximate number and density. Proc Natl Acad Sci U S A (2011) 1.54
Not noisy, just wrong: the role of suboptimal inference in behavioral variability. Neuron (2012) 1.49
Testing Bayesian models of human coincidence timing. J Neurophysiol (2005) 1.48
Perceptual multistability predicted by search model for Bayesian decisions. J Vis (2008) 1.41
Learning priors for Bayesian computations in the nervous system. PLoS One (2010) 1.40
Bayesian inference for psychometric functions. J Vis (2005) 1.30
Rapidly learned stimulus expectations alter perception of motion. J Vis (2010) 1.29
Alterations in choice behavior by manipulations of world model. Proc Natl Acad Sci U S A (2010) 1.29
Ubiquitous log odds: a common representation of probability and frequency distortion in perception, action, and cognition. Front Neurosci (2012) 1.25
Factorial comparison of working memory models. Psychol Rev (2014) 1.22
Movement planning with probabilistic target information. J Neurophysiol (2007) 1.08
Overconfidence in an objective anticipatory motor task. Psychol Sci (2008) 1.07
Internal representations of temporal statistics and feedback calibrate motor-sensory interval timing. PLoS Comput Biol (2012) 1.06
Simulation as an engine of physical scene understanding. Proc Natl Acad Sci U S A (2013) 1.03
Optimality of human movement under natural variations of visual-motor uncertainty. J Vis (2007) 1.00
Changing expectations about speed alters perceived motion direction. Curr Biol (2011) 0.98
Observers exploit stochastic models of sensory change to help judge the passage of time. Curr Biol (2011) 0.98
How haptic size sensations improve distance perception. PLoS Comput Biol (2011) 0.94
Testing whether humans have an accurate model of their own motor uncertainty in a speeded reaching task. PLoS Comput Biol (2013) 0.93
Tuning your priors to the world. Top Cogn Sci (2013) 0.91
Gambling in the visual periphery: a conjoint-measurement analysis of human ability to judge visual uncertainty. PLoS Comput Biol (2010) 0.85
Complexity and specificity of experimentally-induced expectations in motion perception. J Vis (2013) 0.83
When Optimal Feedback Control Is Not Enough: Feedforward Strategies Are Required for Optimal Control with Active Sensing. PLoS Comput Biol (2016) 1.39
Active sensing in the categorization of visual patterns. Elife (2016) 0.80
Fractionation of the visuomotor feedback response to directions of movement and perturbation. J Neurophysiol (2014) 0.78
Coordinate Representations for Interference Reduction in Motor Learning. PLoS One (2015) 0.78
Target Uncertainty Mediates Sensorimotor Error Correction. PLoS One (2017) 0.75