Signal detection theory in the 2AFC paradigm: attention, channel uncertainty and probability summation

[1]  J. Movshon,et al.  The statistical reliability of signals in single neurons in cat and monkey visual cortex , 1983, Vision Research.

[2]  Neil A. Macmillan,et al.  Detection Theory: A User's Guide , 1991 .

[3]  D. J. Finney.  Probit analysis; a statistical treatment of the sigmoid response curve. , 1947 .

[4]  S. Klein,et al.  Spatial frequency channels in human vision as asymmetric (edge) mechanisms. , 1974, Vision research.

[5]  J. M. Foley,et al.  Contrast detection and near-threshold discrimination in human vision , 1981, Vision Research.

[6]  A. Gorea,et al.  New look at Bloch's law for contrast. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[7]  D. Kersten.  Spatial summation in visual noise , 1984, Vision Research.

[8]  Alan B. Cobo-Lewis,et al.  An adaptive psychophysical method for subject classification , 1997, Perception & psychophysics.

[9]  H. Wilson,et al.  Spatial-frequency adaptation affects spatial-probability summation. , 1983, Journal of the Optical Society of America.

[10]  Denis G. Pelli,et al.  On the relation between summation and facilitation , 1987, Vision Research.

[11]  C. Tyler,et al.  Accurate approximation to the extreme order statistics of gaussian samples , 1999 .

[12]  Norma Graham,et al.  Detection and identification of spatial frequency: models and data , 1984, Vision Research.

[13]  C W Tyler,et al.  Distraction of attention and the slope of the psychometric function. , 1999, Journal of the Optical Society of America. A, Optics, image science, and vision.

[14]  D. J. Finney,et al.  Probit Analysis: A Statistical Treatment of the Sigmoid Response Curve. , 1948 .

[15]  J. Robson,et al.  Probability summation and regional variation in contrast sensitivity across the visual field , 1981, Vision Research.

[16]  C. Tyler,et al.  Bayesian adaptive estimation of psychometric slope and threshold , 1999, Vision Research.

[17]  Norbert Wiener,et al.  Extrapolation, Interpolation, and Smoothing of Stationary Time Series , 1964 .

[18]  J. Palmer,et al.  Measuring the effect of attention on simple visual search. , 1993, Journal of experimental psychology. Human perception and performance.

[19]  W. Newsome,et al.  The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.

[20]  D G Pelli,et al.  Uncertainty explains many aspects of visual contrast detection and discrimination. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[21]  S. L. Guth.  Nonadditivity and inhibition among chromatic luminances at threshold. , 1967, Vision research.

[22]  Norbert Wiener,et al.  Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications , 1949 .

[23]  A. Watson.  Probability summation over time , 1979, Vision Research.

[24]  H. Wilson,et al.  Spatial frequency tuning of orientation selective units estimated by oblique masking , 1983, Vision Research.

[25]  M. Mayer,et al.  Invariance of the slope of the psychometric function with spatial summation. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[26]  Christopher W. Tyler,et al.  Nonlinearities of near-threshold contrast transduction , 1997, Vision Research.

[27]  Miguel P. Eckstein,et al.  Development of an image/threshold database for designing and testing human vision models , 1999, Electronic Imaging.

[28]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[29]  Quick Rf.  A vector-magnitude model of contrast detection. , 1974 .

[30]  N. Graham,et al.  Detection of grating patterns containing two spatial frequencies: a comparison of single-channel and multiple-channels models. , 1971, Vision research.