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Empirical Inference Poster 2002

Modelling Contrast Transfer in Spatial Vision

Thumb ticker sm thumb felix a. wichmann
Empirical Inference
Felix A. Wichmann
  • Research Scientist

Much of our information about spatial vision comes from detection experiments involving low-contrast stimuli. Contrast discrimination experiments provide one way to explore the visual system's response to stimuli of higher contrast, the results of which allow different models of contrast processing (e.g. energy versus gain-control models) to be critically assessed (Wichmann & Henning, 1999). Studies of detection and discrimination using pulse train stimuli in noise, on the other hand, make predictions about the number, position and properties of noise sources within the processing stream (Henning, Bird & Wichmann, 2002). Here I report modelling results combining data from both sinusoidal and pulse train experiments in and without noise to arrive at a more tightly constrained model of early spatial vision.

Author(s): Wichmann, FA.
Journal: Journal of Vision
Volume: 2
Number (issue): 10
Pages: 7
Year: 2002
Month: November
Day: 0
Bibtex Type: Poster (poster)
Digital: 0
DOI: 10.1167/2.10.7
Electronic Archiving: grant_archive
Event Name: Second Annual Meeting of the Vision Sciences Society (VSS 2002)
Event Place: Sarasota, FL, USA
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik
Links:

BibTex 

@poster{1897,
  title = {Modelling Contrast Transfer in Spatial Vision },
  journal = {Journal of Vision},
  abstract = {Much of our information about spatial vision comes from detection experiments involving low-contrast stimuli. Contrast discrimination experiments provide one way to explore the visual system's response to stimuli of higher contrast, the results of which allow different models of contrast processing (e.g. energy versus gain-control models) to be critically assessed (Wichmann & Henning, 1999). Studies of detection and discrimination using pulse train stimuli in noise, on the other hand, make predictions about the number, position and properties of noise sources within the processing stream (Henning, Bird & Wichmann, 2002). Here I report modelling results combining data from both sinusoidal and pulse train experiments in and without noise to arrive at a more tightly constrained model of early spatial vision. },
  volume = {2},
  number = {10},
  pages = {7},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = nov,
  year = {2002},
  slug = {1897},
  author = {Wichmann, FA.},
  month_numeric = {11}
}