Noise characteristics and prior expectations in human visual speed perception

By Alan A. Stocker, Eero P. Simoncelli. Nature Neuroscience, 2006

826 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/5c3117efb292c57dd125c960f296b328302058a6

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Citations in the corpus

Cardinal rules: Visual orientation perception reflects knowledge of environmental statistics (2011, methodology): “We used a recently developed methodology for estimating a nonparametric prior from measurements of perceptual bias and variabilit”
Bayesian inference with probabilistic population codes (2006, neutral): “As indicated by equation (5), for addition of population codes to be optimal, the right-hand side of this equation must be independent of both gk and k.”
Video Quality Assessment Using a Statistical Model of Human Visual Speed Perception (2007, positive): “To avoid this, and to take into account the Weber-Fechner law, we take a similar approach as in the Stocker and Simoncelli paper [12].”
Bayesian priors are encoded independently from likelihoods in human multisensory perception. (2009, background): “( 2007 ) and Stocker and Simoncelli ( 2006 ) , we model the trial to trial variability in observer responses as opposed to average behavior .”
Consistent physics underlying ballistic motion prediction (2013, background): “This could introduce biases that would cause participants to recall the velocity as slightly different than it had actually been before the pause (Brouwer & Knill, 2009), especially favoring slower speeds (Stocker & Simoncelli, 2006; Weiss, Simoncelli, & Adelson, 2002).”
F Mean Squared Error: Love It or Leave It? (2009, methodology): “For example, in [51], visual perception of motion is modeled using a recent psychophysical study of human visual speed perception [54] that has provided critical information about the prior and likelihood probability distributions of visual speed perception.”
Visual adaptation and novelty responses in the superior colliculus (2011, background): “This can be achieved through incremental updating over time of a Bayesian prior, which can then bias the processing of incoming sensory data (Itti & Baldi, 2005; Stocker & Simoncelli, 2006).”
Bayesian decision theory in sensorimotor control. (2006, neutral): “Brightness perception [23], shape perception [24], movement perception [ 25 ] and certain illusions in length perception [26] have been shown to arise as optimal percepts in Bayesian models in which subjects have uncertainty about the state of the world based on vision alone and therefore incorporat”
Bayesian just-so stories in psychology and neuroscience. (2012, background): “In response to these findings, Stocker and Simoncelli (2006) noted that their Bayesian theory of speed perception could account for this phenomenon as well: " If our data were to show increases in perceived speed for low-contrast high-speed stimuli, the Bayesian model described here would be able…”
Sources of uncertainty in intuitive physics (2012, background): “Further work is required to understand the priors people actually hold (e.g., Stocker & Simoncelli, 2006) to refine the models that people use to simulate the world.”
Visual perception and the statistical properties of natural scenes. (2008, background): “This general assumption is likely to be true, but the specific predictions depend upon the shape of the prior probability distribution, which they did not measure (however, see Stocker & Simoncelli 2006).”
Temporal context calibrates interval timing (2010, background): “The first stage emulated a noisy measurement process that quantified the probabilistic relationship between the sample intervals and the corresponding noise-perturbed measurement”
Motor Control is Decision-Making (2012, neutral): “In sensory research, techniques have been developed to estimate sensory priors by analyzing perceptual bias [31].”