Document Detail


A model of the perceived relative positions of moving objects based upon a slow averaging process.
MedLine Citation:
PMID:  10793897     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We extend the local energy model of position detection to cope with temporally varying position signals and the perception of relative position. The extension entails two main components. First, a form of persistence for the position signal based on the temporal impulse response function of the visual system. Secondly, we hypothesise that the perceived relative position of two objects is determined by a slow average of the difference of the objects' position signals. The model explains why briefly flashed static dots are perceived to lag behind continuously visible moving dots, without the need for a motion extrapolation process [Nijhawan, R. (1994). Nature, 370, 256-257]. The dependence of this illusion on parameters such as the velocity, duration, frequency and number of flashes of the motion trajectories is accurately captured by the model. Furthermore, the model makes two predictions. First, briefly flashed dots on a staircase trajectory should lead dots with a long duration. Secondly, it should be possible to abolish the lag-effect between continuously visible and stroboscopically moving objects by halting the continuously visible dots during the interflash interval of the stroboscopic dots. Both predictions are corroborated in experiments.
Authors:
B Krekelberg; M Lappe
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Vision research     Volume:  40     ISSN:  0042-6989     ISO Abbreviation:  Vision Res.     Publication Date:  2000  
Date Detail:
Created Date:  2000-05-22     Completed Date:  2000-05-22     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0417402     Medline TA:  Vision Res     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  201-15     Citation Subset:  IM; S    
Affiliation:
Department of Zoology & Neurobiology, Fakultat Biologie, Ruhr University Bochum, Germany. bart@neurobiologie.ruhr-uni-bochum.de
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MeSH Terms
Descriptor/Qualifier:
Computer Simulation / standards
Humans
Motion Perception / physiology*
Optical Illusions / physiology*
Photic Stimulation

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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