Attentional Modulation and Selection – An Integrated Approach
暂无分享,去创建一个
[1] J. Duncan. The locus of interference in the perception of simultaneous stimuli. , 1980, Psychological review.
[2] T. Sejnowski,et al. A selection model for motion processing in area MT of primates , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[3] Kunihiko Fukushima,et al. A neural network model for selective attention in visual pattern recognition , 1986, Biological Cybernetics.
[4] T. Poggio,et al. Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.
[5] Michael W. Spratling. Predictive coding as a model of biased competition in visual attention , 2008, Vision Research.
[6] J. Fuster. Inferotemporal units in selective visual attention and short-term memory. , 1990, Journal of neurophysiology.
[7] John K. Tsotsos,et al. Modeling Visual Attention via Selective Tuning , 1995, Artif. Intell..
[8] C. Koch,et al. Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.
[9] P. Tiesinga,et al. Role of interneuron diversity in the cortical microcircuit for attention. , 2008, Journal of neurophysiology.
[10] A. Treisman,et al. Illusory conjunctions in the perception of objects , 1982, Cognitive Psychology.
[11] John K. Tsotsos,et al. Neurobiology of Attention , 2005 .
[12] S. Treue,et al. Feature-Based Attention Increases the Selectivity of Population Responses in Primate Visual Cortex , 2004, Current Biology.
[13] John K. Tsotsos,et al. Attention links sensing to recognition , 2008, Image Vis. Comput..
[14] John K. Tsotsos,et al. The selective tuning model of attention: psychophysical evidence for a suppressive annulus around an attended item , 2003, Vision Research.
[15] John K. Tsotsos. A Computational Perspective on Visual Attention , 2011 .
[16] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[17] John K. Tsotsos,et al. The center-surround profile of the focus of attention arises from recurrent processing in visual cortex. , 2009, Cerebral cortex.
[18] R. Desimone,et al. Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4 , 1999, The Journal of Neuroscience.
[19] Xiao-Jing Wang,et al. An Integrated Microcircuit Model of Attentional Processing in the Neocortex , 2007, The Journal of Neuroscience.
[20] John K. Tsotsos,et al. An Attentional Prototype for Early Vision , 1992, ECCV.
[21] G. Boynton. Attention and visual perception , 2005, Current Opinion in Neurobiology.
[22] C. Schroeder,et al. Intermodal selective attention in monkeys. I: distribution and timing of effects across visual areas. , 2000, Cerebral cortex.
[23] C. Bundesen,et al. A neural theory of visual attention and short-term memory (NTVA) , 2011, Neuropsychologia.
[24] Paul S Khayat,et al. Attention Differentially Modulates Similar Neuronal Responses Evoked by Varying Contrast and Direction Stimuli in Area MT , 2010, The Journal of Neuroscience.
[25] Walter Schneider,et al. Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention. , 1977 .
[26] P. Milner. A model for visual shape recognition. , 1974, Psychological review.
[27] Michael W. Spratling,et al. A Feedback Model of Visual Attention , 2004, Journal of Cognitive Neuroscience.
[28] J. Duncan. Selective attention and the organization of visual information. , 1984, Journal of experimental psychology. General.
[29] S. Hochstein,et al. Task difficulty and the specificity of perceptual learning , 1997, Nature.
[30] Alex R. Wade,et al. Representation of Concurrent Stimuli by Population Activity in Visual Cortex , 2014, Neuron.
[31] S. Hochstein,et al. View from the Top Hierarchies and Reverse Hierarchies in the Visual System , 2002, Neuron.
[32] Joonyeol Lee,et al. A Normalization Model of Attentional Modulation of Single Unit Responses , 2009, PloS one.
[33] Stefan Treue,et al. Feature-based attention influences motion processing gain in macaque visual cortex , 1999, Nature.
[34] E. L. Lawler,et al. Branch-and-Bound Methods: A Survey , 1966, Oper. Res..
[35] C. Koch,et al. Attention activates winner-take-all competition among visual filters , 1999, Nature Neuroscience.
[36] R. VanRullen. Visual Attention: A Rhythmic Process? , 2013, Current Biology.
[37] Michael W. Spratling. Reconciling Predictive Coding and Biased Competition Models of Cortical Function , 2008, Frontiers Comput. Neurosci..
[38] R. Desimone,et al. A backward progression of attentional effects in the ventral stream , 2009, Proceedings of the National Academy of Sciences.
[39] Christof Koch,et al. Modeling attention to salient proto-objects , 2006, Neural Networks.
[40] Mark D'Esposito,et al. Top-down flow of visual spatial attention signals from parietal to occipital cortex. , 2009, Journal of vision.
[41] F. Hamker. The reentry hypothesis: the putative interaction of the frontal eye field, ventrolateral prefrontal cortex, and areas V4, IT for attention and eye movement. , 2005, Cerebral cortex.
[42] D. Broadbent. Perception and communication , 1958 .
[43] M. Carandini,et al. Normalization as a canonical neural computation , 2011, Nature Reviews Neuroscience.
[44] C. L. M.. The Psychology of Attention , 1890, Nature.
[45] Gustavo Deco,et al. Computational neuroscience of vision , 2002 .
[46] D. Heeger,et al. The Normalization Model of Attention , 2009, Neuron.
[47] R. Desimone,et al. The Role of Neural Mechanisms of Attention in Solving the Binding Problem , 1999, Neuron.
[48] John K. Tsotsos. The Complexity of Perceptual Search Tasks , 1989, IJCAI.
[49] John K. Tsotsos. An inhibitory beam for attentional selection , 1994 .
[50] A. Borst. Seeing smells: imaging olfactory learning in bees , 1999, Nature Neuroscience.
[51] R. Desimone,et al. Neural mechanisms of selective visual attention. , 1995, Annual review of neuroscience.
[52] Michael S. Landy,et al. Computational models of visual attention , 2011, Vision Research.
[53] M. Pinsk,et al. Attention modulates responses in the human lateral geniculate nucleus , 2002, Nature Neuroscience.
[54] Pieter R. Roelfsema,et al. Different Processing Phases for Features, Figures, and Selective Attention in the Primary Visual Cortex , 2007, Neuron.
[55] John K. Tsotsos. Analyzing vision at the complexity level , 1990, Behavioral and Brain Sciences.
[56] A. Treisman. Strategies and models of selective attention. , 1969, Psychological review.
[57] J. Deutsch. Perception and Communication , 1958, Nature.
[58] Wolfgang Maass,et al. On the Computational Power of Winner-Take-All , 2000, Neural Computation.
[59] John K. Tsotsos. On the relative complexity of active vs. passive visual search , 2004, International Journal of Computer Vision.