Early Visual Word Processing Is Flexible: Evidence from Spatiotemporal Brain Dynamics
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Friedemann Pulvermüller | Matthew H. Davis | Yuanyuan Chen | Olaf Hauk | F. Pulvermüller | O. Hauk | Yuanyuan Chen
[1] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[2] Cathy J. Price,et al. Top-down modulation of ventral occipito-temporal responses during visual word recognition , 2011, NeuroImage.
[3] D. Balota,et al. Are lexical decisions a good measure of lexical access? The role of word frequency in the neglected decision stage. , 1984, Journal of experimental psychology. Human perception and performance.
[4] S. Dehaene. Reading in the Brain: The New Science of How We Read , 2009 .
[5] O. Hauk. Only time will tell – why temporal information is essential for our neuroscientific understanding of semantics , 2016, Psychonomic Bulletin & Review.
[6] F. Pulvermüller,et al. Task modulation of brain responses in visual word recognition as studied using EEG/MEG and fMRI , 2013, Front. Hum. Neurosci..
[7] Martin Luessi,et al. MNE software for processing MEG and EEG data , 2014, NeuroImage.
[8] J. Pernier,et al. ERP Manifestations of Processing Printed Words at Different Psycholinguistic Levels: Time Course and Scalp Distribution , 1999, Journal of Cognitive Neuroscience.
[9] Olaf Hauk,et al. Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics , 2011, NeuroImage.
[10] Blair C. Armstrong,et al. The what, when, where, and how of visual word recognition , 2014, Trends in Cognitive Sciences.
[11] F. Pulvermüller,et al. Effects of word length and frequency on the human event-related potential , 2004, Clinical Neurophysiology.
[12] William W. Graves,et al. Neural Systems for Reading Aloud: A Multiparametric Approach , 2009, Cerebral cortex.
[13] Seppo P. Ahlfors,et al. Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates , 2006, NeuroImage.
[14] Friedemann Pulvermüller,et al. Understanding in an instant: Neurophysiological evidence for mechanistic language circuits in the brain , 2009, Brain and Language.
[15] Olaf Hauk,et al. Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data , 2004, NeuroImage.
[16] S. Dehaene,et al. The visual word form area: a prelexical representation of visual words in the fusiform gyrus , 2002, Neuroreport.
[17] James L. McClelland,et al. Structure and deterioration of semantic memory: a neuropsychological and computational investigation. , 2004, Psychological review.
[18] James L. McClelland,et al. The parallel distributed processing approach to semantic cognition , 2003, Nature Reviews Neuroscience.
[19] Friedemann Pulvermüller,et al. Modulation of brain activity by multiple lexical and word form variables in visual word recognition: A parametric fMRI study , 2008, NeuroImage.
[20] Dennis Norris,et al. Putting it all together: a unified account of word recognition and reaction-time distributions. , 2009, Psychological review.
[21] M. Erb,et al. The Concreteness Effect: Evidence for Dual Coding and Context Availability , 2000, Brain and Language.
[22] Matthew H. Davis,et al. Can cognitive models explain brain activation during word and pseudoword reading? A meta-analysis of 36 neuroimaging studies. , 2013, Psychological bulletin.
[23] A. Woollams,et al. Imageability and ambiguity effects in speeded naming: convergence and divergence. , 2005, Journal of experimental psychology. Learning, memory, and cognition.
[24] Alec Marantz,et al. Functional characterisation of letter-specific responses in time, space and current polarity using magnetoencephalography , 2016, NeuroImage.
[25] V. Lamme,et al. The distinct modes of vision offered by feedforward and recurrent processing , 2000, Trends in Neurosciences.
[26] Michael J Cortese,et al. Visual word recognition of single-syllable words. , 2004, Journal of experimental psychology. General.
[27] D Norris,et al. Merging information in speech recognition: Feedback is never necessary , 2000, Behavioral and Brain Sciences.
[28] D. Norris. Models of visual word recognition , 2013, Trends in Cognitive Sciences.
[29] Dennis Norris,et al. Perception as evidence accumulation and Bayesian inference: insights from masked priming. , 2008, Journal of experimental psychology. General.
[30] William D. Marslen-Wilson,et al. The time course of visual word recognition as revealed by linear regression analysis of ERP data , 2006, NeuroImage.
[31] C. Koch. Strategies and Models of Selective Attention , 2010 .
[32] S Lehéricy,et al. The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients. , 2000, Brain : a journal of neurology.
[33] Martin Kronbichler,et al. The visual word form area and the frequency with which words are encountered: evidence from a parametric fMRI study , 2004, NeuroImage.
[34] Matthew H. Davis,et al. Mix, a program for pseudorandomization , 2006, Behavior research methods.
[35] Friedemann Pulvermüller,et al. [Q:] When Would You Prefer a SOSSAGE to a SAUSAGE? [A:] At about 100 msec. ERP Correlates of Orthographic Typicality and Lexicality in Written Word Recognition , 2006, Journal of Cognitive Neuroscience.
[36] Manuel Carreiras,et al. Syllable congruency and word frequency effects on brain activation , 2009, Human brain mapping.
[37] Laurie S. Glezer,et al. Evidence for Highly Selective Neuronal Tuning to Whole Words in the “Visual Word Form Area” , 2009, Neuron.
[38] Simon J. Thorpe,et al. Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited , 2006, Vision Research.
[39] J. G. Snodgrass,et al. Pragmatics of measuring recognition memory: applications to dementia and amnesia. , 1988, Journal of experimental psychology. General.
[40] Bart Machilsen,et al. Predictive Coding and the Neural Response to Predictable Stimuli , 2010, The Journal of Neuroscience.
[41] Dennis Norris,et al. Reading through a noisy channel: why there's nothing special about the perception of orthography. , 2012, Psychological review.
[42] S. Thorpe,et al. A Limit to the Speed of Processing in Ultra-Rapid Visual Categorization of Novel Natural Scenes , 2001, Journal of Cognitive Neuroscience.
[43] Roger Ratcliff,et al. A diffusion model account of the lexical decision task. , 2004, Psychological review.
[44] Michael A. Ford,et al. Can I have a quick word? Early electrophysiological manifestations of psycholinguistic processes revealed by event-related regression analysis of the EEG , 2009, Biological Psychology.
[45] S. Thorpe,et al. Speed of processing in the human visual system , 1996, Nature.
[46] M. Kiefer,et al. Attentional sensitization of unconscious cognition: task sets modulate subsequent masked semantic priming. , 2010, Journal of experimental psychology. General.
[47] F. Pulvermüller,et al. Early Parallel Activation of Semantics and Phonology in Picture Naming: Evidence from a Multiple Linear Regression MEG Study , 2014, Cerebral cortex.
[48] F. Pulvermüller. How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics , 2013, Trends in Cognitive Sciences.
[49] T. Poggio,et al. Neural mechanisms of object recognition , 2002, Current Opinion in Neurobiology.
[50] Nathaniel J. Smith,et al. Regression-based estimation of ERP waveforms: I. The rERP framework. , 2015, Psychophysiology.
[51] C. Price,et al. The Interactive Account of ventral occipitotemporal contributions to reading , 2011, Trends in Cognitive Sciences.
[52] Marta Kutas,et al. Alive and Grasping: Stable and Rapid Semantic Access to an Object Category but Not Object Graspability , 2022 .
[53] S. Taulu,et al. Presentation of electromagnetic multichannel data: The signal space separation method , 2005 .
[54] R. Ilmoniemi,et al. Interpreting magnetic fields of the brain: minimum norm estimates , 2006, Medical and Biological Engineering and Computing.
[55] R. C. Oldfield. THE ASSESSMENT AND ANALYSIS OF HANDEDNESS , 1971 .
[56] Mariano Sigman,et al. Hierarchical Coding of Letter Strings in the Ventral Stream: Dissecting the Inner Organization of the Visual Word-Form System , 2007, Neuron.
[57] James H. Neely,et al. Is semantic activation automatic? A critical re-evaluation. , 2001 .
[58] K. Rayner. Eye movements in reading: Models and data , 2003, Behavioral and Brain Sciences.
[59] C. Fiebach,et al. fMRI Evidence for Dual Routes to the Mental Lexicon in Visual Word Recognition , 2002, Journal of Cognitive Neuroscience.
[60] T. Rogers,et al. Where do you know what you know? The representation of semantic knowledge in the human brain , 2007, Nature Reviews Neuroscience.
[61] J Grainger,et al. Orthographic processing in visual word recognition: a multiple read-out model. , 1996, Psychological review.
[62] Jonathan Grainger,et al. Seeing the Same Words Differently: The Time Course of Automaticity and Top–Down Intention in Reading , 2015, Journal of Cognitive Neuroscience.
[63] J B Poline,et al. Letter Binding and Invariant Recognition of Masked Words , 2004, Psychological science.
[64] Matthew H. Davis,et al. Imagery or meaning? Evidence for a semantic origin of category-specific brain activity in metabolic imaging , 2008, The European journal of neuroscience.
[65] Kara D. Federmeier,et al. Thirty years and counting: finding meaning in the N400 component of the event-related brain potential (ERP). , 2011, Annual review of psychology.
[66] David A. Balota,et al. Attentional Control and Flexible Lexical Processing : Explorations of the Magic Moment of Word Recognition , 2007 .
[67] J. W. Thomas. Some Theoretical Considerations , 1995 .
[68] M. Fuchs,et al. Linear and nonlinear current density reconstructions. , 1999, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[69] Jeffrey R. Binder,et al. Modulation of the semantic system by word imageability , 2005, NeuroImage.
[70] Thomas Serre,et al. A feedforward architecture accounts for rapid categorization , 2007, Proceedings of the National Academy of Sciences.
[71] Maarten Casteren,et al. Match: A program to assist in matching the conditions of factorial experiments , 2007, Behavior research methods.
[72] Jeffrey R. Binder,et al. Tuning of the human left fusiform gyrus to sublexical orthographic structure , 2006, NeuroImage.
[73] Friedemann Pulvermüller,et al. Early influences of word length and frequency: a group study using MEG , 2003, Neuroreport.
[74] Michael W. L. Chee,et al. Frequency of Concrete Words Modulates Prefrontal Activation during Semantic Judgments , 2002, NeuroImage.
[75] M. S. Hämäläinen,et al. Quantification of the benefit from integrating MEG and EEG data in minimum ℓ2-norm estimation , 2008, NeuroImage.
[76] Jonathan Grainger,et al. Watching the Word Go by: On the Time-course of Component Processes in Visual Word Recognition , 2009, Lang. Linguistics Compass.
[77] S. Dehaene,et al. The unique role of the visual word form area in reading , 2011, Trends in Cognitive Sciences.
[78] David A. Medler,et al. Distinct Brain Systems for Processing Concrete and Abstract Concepts , 2005, Journal of Cognitive Neuroscience.
[79] Cathy J. Price,et al. Word or Word-like? Dissociating Orthographic Typicality from Lexicality in the Left Occipito-temporal Cortex , 2011, Journal of Cognitive Neuroscience.
[80] D. Balota,et al. A word’s meaning affects the decision in lexical decision , 1984, Memory & cognition.
[81] J. Deutsch,et al. Attention: Some theoretical considerations. , 1963 .
[82] C. Fiebach,et al. Processing concrete words: fMRI evidence against a specific right-hemisphere involvement , 2004, Neuropsychologia.
[83] Karl J. Friston,et al. MEG and EEG data fusion: Simultaneous localisation of face-evoked responses , 2009, NeuroImage.
[84] A. Dale,et al. Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.
[85] María Ruz,et al. Attention Modulates Initial Stages of Visual Word Processing , 2008, Journal of Cognitive Neuroscience.
[86] Karl J. Friston,et al. Canonical Microcircuits for Predictive Coding , 2012, Neuron.
[87] Y. Chen,et al. The time-course of single-word reading: Evidence from fast behavioral and brain responses , 2012, NeuroImage.
[88] L. Vaina,et al. Mapping the signal‐to‐noise‐ratios of cortical sources in magnetoencephalography and electroencephalography , 2009, Human brain mapping.
[89] S. Scott,et al. Noun imageability and the temporal lobes , 2000, Neuropsychologia.
[90] Dennis Norris,et al. The Bayesian reader: explaining word recognition as an optimal Bayesian decision process. , 2006, Psychological review.
[91] J. Grainger,et al. Early Goal-Directed Top-Down Influences in the Production of Speech , 2011, Front. Psychology.
[92] Ellen F. Lau,et al. A cortical network for semantics: (de)constructing the N400 , 2008, Nature Reviews Neuroscience.
[93] Dwight J. Kravitz,et al. Task context impacts visual object processing differentially across the cortex , 2014, Proceedings of the National Academy of Sciences.
[94] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.