• DocumentCode
    1855773
  • Title

    Properties of taking-decision function in psychophysical tests

  • Author

    Gavrik, Vitali V.

  • Author_Institution
    Ludwig-Gies Str. 18, Koln, Germany
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2715
  • Abstract
    Fundamental features of taking-decision functions have been established from the expert evaluations of perceptual image quality. (1) The functions of different stimuli consist of high-reliability tolerance plateau and one or two semi-logarithmic portions. (2) A multistimulus decision is a product of single-stimulus functions interacting like the probabilities of independent events. (3) The highest-reliability plateau of a stimulus optical property is recorded in the human memory and may be changed in a statistical manner by learning or experience. (4) A simple adaptive process of feedback comparison of neuronal input with the memorized data may underlie the uniform semi-logarithmic performance out of the high-reliability tolerances. A quantitative method was elaborated to extract the complete set of independent stimuli exhausting the experimental spread of decision response and to detect their relations to the brain response. The data are suggestive of some general principles of fuzzy-logic performance in neural networks
  • Keywords
    feedback; fuzzy neural nets; image processing; psychology; decision-taking function; feedback comparison; high-reliability tolerance plateau; independent event probabilities; memorized data; multistimulus decision; neuronal input; perceptual image quality evaluation; psychophysical tests; semi-logarithmic portions; single-stimulus function product; uniform semi-logarithmic performance; Adaptive optics; Data mining; Humans; Image quality; Neurofeedback; Optical feedback; Optical recording; Probability; Psychology; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.833508
  • Filename
    833508