Does precision decrease with set size?
暂无分享,去创建一个
[1] David C Burr,et al. Feature-based integration of orientation signals in visual search , 2000, Vision Research.
[2] J. Palmer. Attentional limits on the perception and memory of visual information. , 1990, Journal of experimental psychology. Human perception and performance.
[3] Eero P. Simoncelli,et al. Cardinal rules: Visual orientation perception reflects knowledge of environmental statistics , 2011, Nature Neuroscience.
[4] S. Hochstein,et al. View from the Top Hierarchies and Reverse Hierarchies in the Visual System , 2002, Neuron.
[5] W. W. Peterson,et al. The theory of signal detectability , 1954, Trans. IRE Prof. Group Inf. Theory.
[6] J. Duncan,et al. Visual search and stimulus similarity. , 1989, Psychological review.
[7] R. K. Simpson. Nature Neuroscience , 2022 .
[8] J. Palmer. Set-size effects in visual search: The effect of attention is independent of the stimulus for simple tasks , 1994, Vision Research.
[9] W. Schneider,et al. Attentional and sensory effects of lowered levels of intrinsic alertness , 2009, Neuropsychologia.
[10] J. Palmer,et al. Measuring the effect of attention on simple visual search. , 1993, Journal of experimental psychology. Human perception and performance.
[11] John Palmer,et al. Set-size effects for identification versus localization depend on the visual search task. , 2008, Journal of experimental psychology. Human perception and performance.
[12] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[13] M. Paradiso,et al. A theory for the use of visual orientation information which exploits the columnar structure of striate cortex , 2004, Biological Cybernetics.
[14] Timothy F. Brady,et al. Encoding higher-order structure in visual working memory: A probabilistic model , 2010 .
[15] R. Catrambone,et al. Proceedings of the 32nd Annual Conference of the Cognitive Science Society , 2010 .
[16] Preeti Verghese,et al. Comparing integration rules in visual search. , 2002, Journal of vision.
[17] S. Luck,et al. Discrete fixed-resolution representations in visual working memory , 2008, Nature.
[18] R. Rosenholtz. Visual search for orientation among heterogeneous distractors: experimental results and implications for signal-detection theory models of search. , 2001, Journal of experimental psychology. Human perception and performance.
[19] Preeti Verghese,et al. The psychophysics of visual search , 2000, Vision Research.
[20] Wasserman,et al. Bayesian Model Selection and Model Averaging. , 2000, Journal of mathematical psychology.
[21] Wei Ji Ma,et al. Bayesian inference with probabilistic population codes , 2006, Nature Neuroscience.
[22] H Sompolinsky,et al. Simple models for reading neuronal population codes. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[23] Wei Ji Ma,et al. Variability in encoding precision accounts for visual short-term memory limitations , 2012, Proceedings of the National Academy of Sciences.
[24] M. Carrasco,et al. Attention enhances contrast sensitivity at cued and impairs it at uncued locations , 2005, Vision Research.
[25] M. Posner,et al. Orienting of Attention* , 1980, The Quarterly journal of experimental psychology.
[26] Wei Ji Ma,et al. No capacity limit in attentional tracking: evidence for probabilistic inference under a resource constraint. , 2009, Journal of vision.
[27] A. Pouget,et al. Behavior and neural basis of near-optimal visual search , 2011, Nature Neuroscience.
[28] N. Cowan. The magical number 4 in short-term memory: A reconsideration of mental storage capacity , 2001, Behavioral and Brain Sciences.
[29] Tom Troscianko,et al. Optimal feature integration in visual search. , 2009, Journal of vision.
[30] D. Burr,et al. Visual Clutter Causes High-Magnitude Errors , 2006, PLoS biology.
[31] D. M. Green,et al. Signal detection theory and psychophysics , 1966 .
[32] W. Ma,et al. A detection theory account of change detection. , 2004, Journal of vision.
[33] Paul M Bays,et al. The precision of visual working memory is set by allocation of a shared resource. , 2009, Journal of vision.