High frequency edges (but not contrast) predict where we fixate: A Bayesian system identification analysis

[1]  R. C. Langford.  How People Look at Pictures, A Study of the Psychology of Perception in Art. , 1936 .

[2]  Vision Research , 1961, Nature.

[3]  Y. W. Lee,et al.  Measurement of the Wiener Kernels of a Non-linear System by Cross-correlation† , 1965 .

[4]  A. L. I︠A︡rbus.  Eye Movements and Vision , 1967 .

[5]  A. L. Yarbus,et al.  Eye Movements and Vision , 1967, Springer US.

[6]  E. de Boer,et al.  On cochlear encoding: potentialities and limitations of the reverse-correlation technique. , 1978, The Journal of the Acoustical Society of America.

[7]  D. Burr,et al.  Feature detection in human vision: a phase-dependent energy model , 1988, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[8]  P. McCullagh,et al.  Generalized Linear Models , 1992 .

[9]  J. V. Gisbergen,et al.  Scatter in the metrics of saccades and properties of the collicular motor map , 1989, Vision Research.

[10]  J. Friedman,et al.  [A Statistical View of Some Chemometrics Regression Tools]: Response , 1993 .

[11]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[12]  William Bialek,et al.  Spikes: Exploring the Neural Code , 1996 .

[13]  Roland Baddeley,et al.  The Correlational Structure of Natural Images and the Calibration of Spatial Representations , 1997, Cogn. Sci..

[14]  Wenjiang J. Fu.  Penalized Regressions: The Bridge versus the Lasso , 1998 .

[15]  P Reinagel,et al.  Natural scene statistics at the centre of gaze. , 1999, Network.

[16]  C. Koch,et al.  A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.

[17]  K. Sen,et al.  Feature analysis of natural sounds in the songbird auditory forebrain. , 2001, Journal of neurophysiology.

[18]  M. Hayhoe,et al.  In what ways do eye movements contribute to everyday activities? , 2001, Vision Research.

[19]  Eric R. Ziegel,et al.  Generalized Linear Models , 2002, Technometrics.

[20]  J. Elder,et al.  Ecological statistics of Gestalt laws for the perceptual organization of contours. , 2002, Journal of vision.

[21]  Derrick J. Parkhurst,et al.  Modeling the role of salience in the allocation of overt visual attention , 2002, Vision Research.

[22]  P. König,et al.  Does luminance‐contrast contribute to a saliency map for overt visual attention? , 2003, The European journal of neuroscience.

[23]  Derrick J. Parkhurst,et al.  Scene content selected by active vision. , 2003, Spatial vision.

[24]  Michael Brady,et al.  Saliency, Scale and Image Description , 2001, International Journal of Computer Vision.

[25]  Jonathan D. Nelson,et al.  Yarbus lives: a foveated exploration of how task influences saccadic eye movement , 2004 .

[26]  D. Ruppert.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .

[27]  Jitendra Malik,et al.  An Information Maximization Model of Eye Movements , 2004, NIPS.

[28]  A. Ng.  Feature selection, L1 vs. L2 regularization, and rotational invariance , 2004, Twenty-first international conference on Machine learning - ICML '04.

[29]  Casimir J. H. Ludwig,et al.  The Temporal Impulse Response Underlying Saccadic Decisions , 2005, The Journal of Neuroscience.

[30]  Iain D. Gilchrist,et al.  Visual correlates of fixation selection: effects of scale and time , 2005, Vision Research.

[31]  R. Baddeley,et al.  The long and the short of it: Spatial statistics at fixation vary with saccade amplitude and task , 2006, Vision Research.