Twin mechanisms: Rapid scene recognition involves both feedforward and feedback processing.
暂无分享,去创建一个
Wei Liu | Zhijun Zhang | Binxing Wu | Xukun Zhang | Yusheng Sun | Xukun Zhang | Wei Liu | Zhijun Zhang | Yusheng Sun | Binxing Wu
[1] Cyriel M A Pennartz,et al. Towards a Unified View on Pathways and Functions of Neural Recurrent Processing , 2019, Trends in Neurosciences.
[2] Lars Muckli,et al. Cortical feedback signals generalise across different spatial frequencies of feedforward inputs , 2017, NeuroImage.
[3] Z. Zhijun,et al. The impact of contextual expectation on rapid natural scene recognition , 2017 .
[4] Marius V. Peelen,et al. Object detection in natural scenes: Independent effects of spatial and category-based attention , 2017, Attention, perception & psychophysics.
[5] Nathalie Guyader,et al. How does information from low and high spatial frequencies interact during scene categorization? , 2016 .
[6] Marius V Peelen,et al. Journal of Experimental Psychology : General Content-Specific Expectations Enhance Stimulus Detectability by Increasing Perceptual Sensitivity , 2015 .
[7] Louise Kauffmann,et al. Effective connectivity in the neural network underlying coarse-to-fine categorization of visual scenes. A dynamic causal modeling study , 2015, Brain and Cognition.
[8] Nathalie Guyader,et al. Rapid scene categorization: Role of spatial frequency order, accumulation mode and luminance contrast , 2015, Vision Research.
[9] Diane M. Beck,et al. Probing feedforward and feedback contributions to awareness with visual masking and transcranial magnetic stimulation , 2014, Front. Psychol..
[10] Jason J.S. Barton,et al. The latencies of prosaccades are prolonged by both executed and planned (but not executed) prior antisaccades , 2014 .
[11] David J. Jilk,et al. Early recurrent feedback facilitates visual object recognition under challenging conditions , 2014, Front. Psychol..
[12] Li Fei-Fei,et al. Visual categorization is automatic and obligatory: evidence from Stroop-like paradigm. , 2014, Journal of vision.
[13] Brad Wyble,et al. Detecting meaning in RSVP at 13 ms per picture , 2013, Attention, perception & psychophysics.
[14] James J. DiCarlo,et al. How Does the Brain Solve Visual Object Recognition? , 2012, Neuron.
[15] Thomas Schmidt,et al. Dos and don’ts in response priming research , 2011, Advances in cognitive psychology.
[16] Nathalie Guyader,et al. Evidence of a coarse-to-fine categorization of visual scenes using movies of spatial frequency filtered scene images , 2011 .
[17] Krista A. Ehinger,et al. SUN database: Large-scale scene recognition from abbey to zoo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[18] Thomas Schmidt,et al. Processing of natural images is feedforward: A simple behavioral test , 2009, Attention, perception & psychophysics.
[19] Michelle R. Greene,et al. Recognition of natural scenes from global properties: Seeing the forest without representing the trees , 2009, Cognitive Psychology.
[20] K. Scherer,et al. Spatial frequencies or emotional effects? A systematic measure of spatial frequencies for IAPS pictures by a discrete wavelet analysis , 2007, Journal of Neuroscience Methods.
[21] Thomas Serre,et al. A feedforward architecture accounts for rapid categorization , 2007, Proceedings of the National Academy of Sciences.
[22] V. Lamme. Towards a true neural stance on consciousness , 2006, Trends in Cognitive Sciences.
[23] Simon J. Thorpe,et al. Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited , 2006, Vision Research.
[24] Christoph M. Michel,et al. Hemispheric specialization of human inferior temporal cortex during coarse-to-fine and fine-to-coarse analysis of natural visual scenes , 2005, NeuroImage.
[25] R. Dolan,et al. Distinct spatial frequency sensitivities for processing faces and emotional expressions , 2003, Nature Neuroscience.
[26] J. Schwarzbach,et al. Different time courses for visual perception and action priming , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[27] V. Lamme. Why visual attention and awareness are different , 2003, Trends in Cognitive Sciences.
[28] P. Perona,et al. Rapid natural scene categorization in the near absence of attention , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[29] Denis Fize,et al. Speed of processing in the human visual system , 1996, Nature.
[30] A. Oliva,et al. From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition , 1994 .
[31] Denis G. Pelli,et al. Accurate control of contrast on microcomputer displays , 1991, Vision Research.
[32] Antonio Torralba,et al. Building the gist of a scene: the role of global image features in recognition. , 2006, Progress in brain research.
[33] D G Pelli,et al. The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.
[34] Jean Bullier,et al. The Timing of Information Transfer in the Visual System , 1997 .
[35] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.