A Bayesian model of perceived head-centered velocity during smooth pursuit eye movement. 2010

Tom C A Freeman, and Rebecca A Champion, and Paul A Warren
School of Psychology, Cardiff University, Park Place, Cardiff CF10 3AT, UK. freemant@cardiff.ac.uk

During smooth pursuit eye movement, observers often misperceive velocity. Pursued stimuli appear slower (Aubert-Fleishl phenomenon [1, 2]), stationary objects appear to move (Filehne illusion [3]), the perceived direction of moving objects is distorted (trajectory misperception [4]), and self-motion veers away from its true path (e.g., the slalom illusion [5]). Each illusion demonstrates that eye speed is underestimated with respect to image speed, a finding that has been taken as evidence of early sensory signals that differ in accuracy [4, 6-11]. Here we present an alternative Bayesian account, based on the idea that perceptual estimates are increasingly influenced by prior expectations as signals become more uncertain [12-15]. We show that the speeds of pursued stimuli are more difficult to discriminate than fixated stimuli. Observers are therefore less certain about motion signals encoding the speed of pursued stimuli, a finding we use to quantify the Aubert-Fleischl phenomenon based on the assumption that the prior for motion is centered on zero [16-20]. In doing so, we reveal an important property currently overlooked by Bayesian models of motion perception. Two Bayes estimates are needed at a relatively early stage in processing, one for pursued targets and one for image motion.

UI MeSH Term Description Entries
D007088 Illusions The misinterpretation of a real external, sensory experience. Autokinetic Effect,Autokinetic Illusions,Effect, Autokinetic,Illusions, Auditory,Illusions, Kinesthetic,Illusions, Tactile,Illusions, Visual,Auditory Illusion,Auditory Illusions,Autokinetic Effects,Autokinetic Illusion,Effects, Autokinetic,Illusion,Illusion, Auditory,Illusion, Autokinetic,Illusion, Kinesthetic,Illusion, Tactile,Illusion, Visual,Illusions, Autokinetic,Kinesthetic Illusion,Kinesthetic Illusions,Tactile Illusion,Tactile Illusions,Visual Illusion,Visual Illusions
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D009039 Motion Perception The real or apparent movement of objects through the visual field. Movement Perception,Perception, Motion,Perception, Movement
D009068 Movement The act, process, or result of passing from one place or position to another. It differs from LOCOMOTION in that locomotion is restricted to the passing of the whole body from one place to another, while movement encompasses both locomotion but also a change of the position of the whole body or any of its parts. Movement may be used with reference to humans, vertebrate and invertebrate animals, and microorganisms. Differentiate also from MOTOR ACTIVITY, movement associated with behavior. Movements
D011698 Pursuit, Smooth Eye movements that are slow, continuous, and conjugate and occur when a fixed object is moved slowly. Pursuits, Smooth,Smooth Pursuit,Smooth Pursuits
D006257 Head The upper part of the human body, or the front or upper part of the body of an animal, typically separated from the rest of the body by a neck, and containing the brain, mouth, and sense organs. Heads
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D001499 Bayes Theorem A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result. Bayesian Analysis,Bayesian Estimation,Bayesian Forecast,Bayesian Method,Bayesian Prediction,Analysis, Bayesian,Bayesian Approach,Approach, Bayesian,Approachs, Bayesian,Bayesian Approachs,Estimation, Bayesian,Forecast, Bayesian,Method, Bayesian,Prediction, Bayesian,Theorem, Bayes

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