Task and Spatial Frequency Modulations of Object Processing: An EEG Study
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[1] P. Reuter-Lorenz,et al. Global Versus Local Processing in the Absence of Low Spatial Frequencies , 1990, Journal of Cognitive Neuroscience.
[2] I. Nelken,et al. Transient Induced Gamma-Band Response in EEG as a Manifestation of Miniature Saccades , 2008, Neuron.
[3] Matthias M. Müller,et al. Effects of picture repetition on induced gamma band responses, evoked potentials, and phase synchrony in the human EEG. , 2002, Brain research. Cognitive brain research.
[4] H. Jasper,et al. The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.
[5] H. Barlow. Vision: A computational investigation into the human representation and processing of visual information: David Marr. San Francisco: W. H. Freeman, 1982. pp. xvi + 397 , 1983 .
[6] J. Hegdé. Time course of visual perception: Coarse-to-fine processing and beyond , 2008, Progress in Neurobiology.
[7] A. Oliva,et al. Dr. Angry and Mr. Smile: when categorization flexibly modifies the perception of faces in rapid visual presentations , 1999, Cognition.
[8] S. Thorpe,et al. The Time Course of Visual Processing: From Early Perception to Decision-Making , 2001, Journal of Cognitive Neuroscience.
[9] Michael L. Mack,et al. Time course of visual object categorization: Fastest does not necessarily mean first , 2009, Vision Research.
[10] Stephen M. Kosslyn,et al. Pictures and names: Making the connection , 1984, Cognitive Psychology.
[11] Jasna Martinovic,et al. Coding of Visual Object Features and Feature Conjunctions in the Human Brain , 2008, PloS one.
[12] Rufin VanRullen,et al. The power of the feed-forward sweep , 2008, Advances in cognitive psychology.
[13] Bruno Rossion,et al. Early lateralization and orientation tuning for face, word, and object processing in the visual cortex , 2003, NeuroImage.
[14] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[15] C. A. Grimbergen,et al. HIGH QUALITY RECORDING OF BIOELECTRIC EVENTS . I : INTERFERENCE REDUCTION , THEORY AND PRACTICE , 2009 .
[16] Thom Baguley,et al. Serious stats: a guide to advanced statistics for the behavioral sciences , 2012 .
[17] J. Bullier. Integrated model of visual processing , 2001, Brain Research Reviews.
[18] Rainer Goebel,et al. From Coarse to Fine? Spatial and Temporal Dynamics of Cortical Face Processing , 2010, Cerebral cortex.
[19] D. Navon. Forest before trees: The precedence of global features in visual perception , 1977, Cognitive Psychology.
[20] A. Oliva,et al. From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition , 1994 .
[21] James J. DiCarlo,et al. How Does the Brain Solve Visual Object Recognition? , 2012, Neuron.
[22] Olivier R. Joubert,et al. The Time-Course of Visual Categorizations: You Spot the Animal Faster than the Bird , 2009, PloS one.
[23] I. Gauthier,et al. Spatial scale contribution to early visual differences between face and object processing. , 2003, Brain research. Cognitive brain research.
[24] Jasna Martinovic,et al. High frequency oscillations as a correlate of visual perception. , 2011, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[25] Paul Portner,et al. Syntax, concepts, and logic in the temporal dynamics of language comprehension: Evidence from event-related potentials , 2010, Neuropsychologia.
[26] N. Kanwisher,et al. PSYCHOLOGICAL SCIENCE Research Article Visual Recognition As Soon as You Know It Is There, You Know What It Is , 2022 .
[27] M. Bar. A Cortical Mechanism for Triggering Top-Down Facilitation in Visual Object Recognition , 2003, Journal of Cognitive Neuroscience.
[28] Haline E. Schendan,et al. Object-sensitive activity reflects earlier perceptual and later cognitive processing of visual objects between 95 and 500ms , 2010, Brain Research.
[29] Wayne D. Gray,et al. Basic objects in natural categories , 1976, Cognitive Psychology.
[30] Robert Oostenveld,et al. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..
[31] Yannick Marchand,et al. ERP assessment of functional status in the temporal lobe: examining spatiotemporal correlates of object recognition. , 2007, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[32] P. Schyns,et al. Usage of spatial scales for the categorization of faces, objects, and scenes , 2001, Psychonomic bulletin & review.
[33] Shlomit Yuval-Greenberg,et al. Saccadic spike potentials in gamma-band EEG: Characterization, detection and suppression , 2010, NeuroImage.
[34] Jasna Martinovic,et al. Induced Gamma Band Responses Predict Recognition Delays during Object Identification , 2007, Journal of Cognitive Neuroscience.
[35] J. Tanaka,et al. Object categories and expertise: Is the basic level in the eye of the beholder? , 1991, Cognitive Psychology.
[36] Denis Fize,et al. Speed of processing in the human visual system , 1996, Nature.
[37] B. Rossion,et al. Revisiting Snodgrass and Vanderwart's Object Pictorial Set: The Role of Surface Detail in Basic-Level Object Recognition , 2004, Perception.
[38] M. Kiefer,et al. Cognitive Neuroscience: Tracking the time course of object categorization using event-related potentials , 1999 .
[39] Jasna Martinovic,et al. Priming of object categorization within and across levels of specificity , 2009 .
[40] P. Mitra,et al. Analysis of dynamic brain imaging data. , 1998, Biophysical journal.
[41] A. Oliva,et al. Coarse Blobs or Fine Edges? Evidence That Information Diagnosticity Changes the Perception of Complex Visual Stimuli , 1997, Cognitive Psychology.
[42] E. Halgren,et al. Top-down facilitation of visual recognition. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[43] D. Navon. What does a compound letter tell the psychologist's mind? , 2003, Acta psychologica.
[44] D R Badcock,et al. Low-Frequency Filtering and the Processing of Local—Global Stimuli , 1990, Perception.
[45] J Wilson,et al. Spatial Frequency and Selective Attention to Local and Global Information , 1987, Perception.
[46] Elana Zion-Golumbic,et al. Electrophysiological neural mechanisms for detection, configural analysis and recognition of faces , 2007, NeuroImage.
[47] C A Grimbergen,et al. High-quality recording of bioelectric events , 1991, Medical and Biological Engineering and Computing.
[48] Margot J. Taylor,et al. N170 or N1? Spatiotemporal differences between object and face processing using ERPs. , 2004, Cerebral cortex.
[49] Bradford Z. Mahon,et al. A bimodal tuning curve for spatial frequency across left and right human orbital frontal cortex during object recognition. , 2014, Cerebral cortex.
[50] M. Bar,et al. Magnocellular Projections as the Trigger of Top-Down Facilitation in Recognition , 2007, The Journal of Neuroscience.
[51] T. Rogers,et al. Object categorization: reversals and explanations of the basic-level advantage. , 2007, Journal of experimental psychology. General.
[52] Shlomo Bentin,et al. Stimulus type, level of categorization, and spatial-frequencies utilization: implications for perceptual categorization hierarchies. , 2009, Journal of experimental psychology. Human perception and performance.
[53] Emmanuel M Pothos,et al. “Object Categorization: Reversals and Explanations of the Basic-Level Advantage” (Rogers & Patterson, 2007): A simplicity account , 2012, Quarterly journal of experimental psychology.
[54] C. Stern,et al. Where vision meets memory: prefrontal-posterior networks for visual object constancy during categorization and recognition. , 2008, Cerebral cortex.
[55] Bruno Rossion,et al. ERP evidence for task modulations on face perceptual processing at different spatial scales , 2003, Cogn. Sci..
[56] Stefan Debener,et al. Size matters: effects of stimulus size, duration and eccentricity on the visual gamma-band response , 2004, Clinical Neurophysiology.
[57] Charles A. Collin,et al. Subordinate-level categorization relies on high spatial frequencies to a greater degree than basic-level categorization , 2005, Perception & psychophysics.
[58] Paul T. Sowden,et al. Channel surfing in the visual brain , 2006, Trends in Cognitive Sciences.
[59] R. Bakeman. Recommended effect size statistics for repeated measures designs , 2005, Behavior research methods.
[60] J. Algina,et al. Generalized eta and omega squared statistics: measures of effect size for some common research designs. , 2003, Psychological methods.
[61] R. B. Reilly,et al. FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection , 2010, Journal of Neuroscience Methods.
[62] Nelson J. Trujillo-Barreto,et al. Induced gamma band responses in human EEG after the control of miniature saccadic artifacts , 2011, NeuroImage.
[63] Christoph M. Michel,et al. The Neural Substrates and Timing of Top–Down Processes during Coarse-to-Fine Categorization of Visual Scenes: A Combined fMRI and ERP Study , 2010, Journal of Cognitive Neuroscience.