Modeling the N400 ERP component as transient semantic over-activation within a neural network model of word comprehension

[1]  L. Postman,et al.  Norms of word association , 1970 .

[2]  D Marr,et al.  Simple memory: a theory for archicortex. , 1971, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[3]  K. Forster,et al.  Lexical Access and Naming Time. , 1973 .

[4]  I. Fischler.  Semantic facilitation without association in a lexical decision task , 1977, Memory & cognition.

[5]  Don L. Scarborough,et al.  Frequency and Repetition Effects in Lexical Memory. , 1977 .

[6]  M. Kutas,et al.  Reading senseless sentences: brain potentials reflect semantic incongruity. , 1980, Science.

[7]  K. Forster,et al.  REPETITION PRIMING AND FREQUENCY ATTENUATION IN LEXICAL ACCESS , 1984 .

[8]  Dennis Norris,et al.  The Effects of Frequency, Repetition and Stimulus Quality in Visual Word Recognition , 1984 .

[9]  Mark S. Seidenberg,et al.  Pre- and postlexical loci of contextual effects on word recognition , 1984, Memory & cognition.

[10]  R Ratcliff,et al.  Components of activation: repetition and priming effects in lexical decision and recognition. , 1985, Journal of experimental psychology. General.

[11]  C. C. Wood,et al.  Event-related potentials, lexical decision and semantic priming. , 1985, Electroencephalography and clinical neurophysiology.

[12]  M. Alexander,et al.  Principles of Neural Science , 1981 .

[13]  E. Rothkopf,et al.  The word frequency effect in lexical decision: Finding a frequency-based component , 1987, Memory & cognition.

[14]  Barak A. Pearlmutter.  Learning state space trajectories in recurrent neural networks : a preliminary report. , 1988 .

[15]  Richard A. Andersen,et al.  A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons , 1988, Nature.

[16]  M. Rugg,et al.  Modulation of event-related potentials by word repetition: the effects of inter-item lag. , 1989, Psychophysiology.

[17]  Barak A. Pearlmutter.  Learning State Space Trajectories in Recurrent Neural Networks , 1989, Neural Computation.

[18]  Francis Crick,et al.  The recent excitement about neural networks , 1989, Nature.

[19]  James L. McClelland,et al.  Sentence comprehension: A parallel distributed processing approach , 1989, Language and Cognitive Processes.

[20]  James L. McClelland,et al.  Learning and Applying Contextual Constraints in Sentence Comprehension , 1990, Artif. Intell..

[21]  M. Rugg.  Event-related brain potentials dissociate repetition effects of high-and low-frequency words , 1990, Memory & cognition.

[22]  M. Kutas,et al.  Interactions between sentence context and word frequencyinevent-related brainpotentials , 1990, Memory & cognition.

[23]  E. Miller,et al.  Habituation-like decrease in the responses of neurons in inferior temporal cortex of the macaque , 1991, Visual Neuroscience.

[24]  Geoffrey E. Hinton,et al.  Lesioning an attractor network: investigations of acquired dyslexia. , 1991, Psychological review.

[25]  J. H. Neely.  Semantic priming effects in visual word recognition: A selective review of current findings and theories. , 1991 .

[26]  J. Shelton,et al.  How semantic is automatic semantic priming? , 1992, Journal of experimental psychology. Learning, memory, and cognition.

[27]  J. Cohen,et al.  Context, cortex, and dopamine: a connectionist approach to behavior and biology in schizophrenia. , 1992, Psychological review.

[28]  M. Rugg,et al.  Word frequency and multiple repetition as determinants of the modulation of event-related potentials in a semantic classification task. , 2007, Psychophysiology.

[29]  Colin M. Brown,et al.  The syntactic positive shift (sps) as an erp measure of syntactic processing , 1993 .

[30]  R. Desimone,et al.  Activity of neurons in anterior inferior temporal cortex during a short- term memory task , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[31]  M. Kutas.  In the company of other words: Electrophysiological evidence for single-word and sentence context effects , 1993 .

[32]  Peter Hagoort,et al.  The Processing Nature of the N400: Evidence from Masked Priming , 1993, Journal of Cognitive Neuroscience.

[33]  J. Kounios,et al.  Concreteness effects in semantic processing: ERP evidence supporting dual-coding theory. , 1994, Journal of experimental psychology. Learning, memory, and cognition.

[34]  A. Friederici.  The Time Course of Syntactic Activation During Language Processing: A Model Based on Neuropsychological and Neurophysiological Data , 1995, Brain and Language.

[35]  W. Marslen-Wilson,et al.  Accessing Different Types of Lexical Semantic Information: Evidence From Priming , 1995 .

[36]  David C. Plaut,et al.  Semantic and Associative Priming in a Distributed Attractor Network , 1995 .

[37]  R. Desimone,et al.  Neural mechanisms for visual memory and their role in attention. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[38]  R. Traub,et al.  Neuronal networks for induced ‘40 Hz’ rhythms , 1996, Trends in Neurosciences.

[39]  W. Singer,et al.  Integrator or coincidence detector? The role of the cortical neuron revisited , 1996, Trends in Neurosciences.

[40]  Randall C. O'Reilly,et al.  Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm , 1996, Neural Computation.

[41]  David C. Plaut,et al.  Structure and Function in the Lexical System: Insights from Distributed Models of Word Reading and Lexical Decision , 1997 .

[42]  L. Abbott,et al.  Synaptic Depression and Cortical Gain Control , 1997, Science.

[43]  S. Andrews.  The effect of orthographic similarity on lexical retrieval: Resolving neighborhood conflicts , 1997 .

[44]  G Bugmann,et al.  Biologically plausible neural computation. , 1997, Bio Systems.

[45]  L. Abbott,et al.  A Quantitative Description of Short-Term Plasticity at Excitatory Synapses in Layer 2/3 of Rat Primary Visual Cortex , 1997, The Journal of Neuroscience.

[46]  J. Grainger,et al.  Effects of orthographic neighborhood in visual word recognition: cross-task comparisons. , 1997, Journal of experimental psychology. Learning, memory, and cognition.

[47]  M. Kutas,et al.  The N400 in a semantic categorization task across 6 decades. , 1998, Electroencephalography and clinical neurophysiology.

[48]  J. Gabrieli,et al.  Effects of Semantic and Associative Relatedness on Automatic Priming , 1998 .

[49]  Conrad Perry,et al.  No more problems in Coltheart's neighborhood: resolving neighborhood conflicts in the lexical decision task , 1998, Cognition.

[50]  Alex Martin,et al.  Properties and mechanisms of perceptual priming , 1998, Current Opinion in Neurobiology.

[51]  Wolf Singer,et al.  Striving for coherence , 1999 .

[52]  Kara D. Federmeier,et al.  A Rose by Any Other Name: Long-Term Memory Structure and Sentence Processing , 1999 .

[53]  Chris McNorgan,et al.  An attractor model of lexical conceptual processing: simulating semantic priming , 1999, Cogn. Sci..

[54]  Kara D. Federmeier,et al.  Electrophysiology reveals semantic memory use in language comprehension , 2000, Trends in Cognitive Sciences.

[55]  P. Holcomb,et al.  Imaginal, Semantic, and Surface-Level Processing of Concrete and Abstract Words: An Electrophysiological Investigation , 2000, Journal of Cognitive Neuroscience.

[56]  D. Plaut,et al.  Individual and developmental differences in semantic priming: empirical and computational support for a single-mechanism account of lexical processing. , 2000, Psychological review.

[57]  N. Cohen,et al.  The relative involvement of anterior cingulate and prefrontal cortex in attentional control depends on nature of conflict. , 2001, Brain research. Cognitive brain research.

[58]  James L. McClelland,et al.  The time course of perceptual choice: the leaky, competing accumulator model. , 2001, Psychological review.

[59]  M. Koivisto,et al.  Cognitive representations underlying the N400 priming effect. , 2001, Brain research. Cognitive brain research.

[60]  T. Sejnowski,et al.  Correlated neuronal activity and the flow of neural information , 2001, Nature Reviews Neuroscience.

[61]  J. Grainger,et al.  An Electrophysiological Study of the Effects of Orthographic Neighborhood Size on Printed Word Perception , 2002, Journal of Cognitive Neuroscience.

[62]  T. Sejnowski,et al.  Dynamic Brain Sources of Visual Evoked Responses , 2002, Science.

[63]  Paul D. Siakaluk,et al.  Orthographic neighborhood effects in lexical decision: the effects of nonword orthographic neighborhood size. , 2002, Journal of experimental psychology. Human perception and performance.

[64]  D. Plaut,et al.  The impact of synaptic depression following brain damage: A connectionist account of “access/refractory” and “degraded-store” semantic impairments , 2002, Cognitive, affective & behavioral neuroscience.

[65]  Anders M. Dale,et al.  N400-like Magnetoencephalography Responses Modulated by Semantic Context, Word Frequency, and Lexical Class in Sentences , 2002, NeuroImage.

[66]  Rémy Versace,et al.  Word frequency effect on repetition priming as a function of prime duration and delay between the prime and the target. , 2003, British journal of psychology.

[67]  A. Friederici.  Event-related brain potential studies in language , 2004, Current neurology and neuroscience reports.

[68]  H. Barber,et al.  Syllable-frequency effects in visual word recognition: evidence from ERPs , 2004, Neuroreport.

[69]  Walter Ritter,et al.  Repetition and semantic priming of nonwords: implications for theories of N400 and word recognition. , 2004, Psychophysiology.

[70]  Matthias Schlesewsky,et al.  Fractionating language comprehension via frequency characteristics of the human EEG , 2004, Neuroreport.

[71]  T. McNamara.  Semantic Priming: Perspectives from Memory and Word Recognition , 2005 .

[72]  Markus Kiefer,et al.  Category-related brain activity to natural categories is associated with the retrieval of visual features: Evidence from repetition effects during visual and functional judgments. , 2005, Brain research. Cognitive brain research.

[73]  Karl J. Friston,et al.  A theory of cortical responses , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[74]  Mark S. Seidenberg,et al.  Semantic feature production norms for a large set of living and nonliving things , 2005, Behavior research methods.

[75]  W. Kintsch,et al.  High-Dimensional Semantic Space Accounts of Priming. , 2006 .

[76]  George S. Cree,et al.  Distinctive features hold a privileged status in the computation of word meaning: Implications for theories of semantic memory. , 2006, Journal of experimental psychology. Learning, memory, and cognition.

[77]  C. Petten,et al.  Neural localization of semantic context effects in electromagnetic and hemodynamic studies , 2006, Brain and Language.

[78]  Karl J. Friston,et al.  Dynamic causal modeling of evoked responses in EEG and MEG , 2006, NeuroImage.

[79]  C. Olson,et al.  Repetition suppression in monkey inferotemporal cortex: relation to behavioral priming. , 2007, Journal of neurophysiology.

[80]  Gina R. Kuperberg,et al.  Neural mechanisms of language comprehension: Challenges to syntax , 2007, Brain Research.

[81]  Kara D. Federmeier,et al.  Handbook of Psychophysiology: Event-Related Brain Potentials: Methods, Theory, and Applications , 2007 .

[82]  W. Klimesch,et al.  Are event-related potential components generated by phase resetting of brain oscillations? A critical discussion , 2007, Neuroscience.

[83]  Peter,et al.  Semantic Unification , 2008 .

[84]  Ellen F. Lau,et al.  A cortical network for semantics: (de)constructing the N400 , 2008, Nature Reviews Neuroscience.

[85]  D. Donaldson,et al.  Association and not semantic relationships elicit the N400 effect: electrophysiological evidence from an explicit language comprehension task. , 2007, Psychophysiology.

[86]  Ian S. Hargreaves,et al.  There are many ways to be rich: Effects of three measures of semantic richness on visual word recognition , 2008, Psychonomic bulletin & review.

[87]  M. Bar,et al.  The effects of priming on frontal-temporal communication , 2008, Proceedings of the National Academy of Sciences.

[88]  Kara D. Federmeier,et al.  Chapter 1 Time for Meaning: Electrophysiology Provides Insights into the Dynamics of Representation and Processing in Semantic Memory , 2009 .

[89]  John Kounios,et al.  Semantic richness and the activation of concepts in semantic memory: Evidence from event-related potentials , 2009, Brain Research.

[90]  Kara D. Federmeier,et al.  A Beautiful Day in the Neighborhood: An Event-Related Potential Study of Lexical Relationships and Prediction in Context. , 2009, Journal of memory and language.

[91]  Van Berkum,et al.  The neuropragmatics of 'simple' utterance comprehension: An ERP review , 2009 .

[92]  Karl J. Friston.  The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.

[93]  K. Grill-Spector,et al.  fMRI-adaptation and category selectivity in human ventral temporal cortex: regional differences across time scales. , 2010, Journal of neurophysiology.

[94]  Stephen J. Gotts,et al.  Human Neuroscience , 2022 .

[95]  Valentin Dragoi,et al.  Adaptive Changes in Neuronal Synchronization in Macaque V4 , 2011, The Journal of Neuroscience.

[96]  Kara D. Federmeier,et al.  The N400 as a snapshot of interactive processing: Evidence from regression analyses of orthographic neighbor and lexical associate effects. , 2011, Psychophysiology.

[97]  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.

[98]  Hartmut Fitz,et al.  Getting real about Semantic Illusions: Rethinking the functional role of the P600 in language comprehension , 2012, Brain Research.

[99]  Milena Rabovsky,et al.  Journal of Experimental Psychology : Learning , Memory , and Cognition Implicit Word Learning Benefits From Semantic Richness : Electrophysiological and Behavioral Evidence , 2011 .

[100]  Rufin Vogels,et al.  Stimulus repetition affects both strength and synchrony of macaque inferior temporal cortical activity. , 2012, Journal of neurophysiology.

[101]  Stephen A. Billings,et al.  Balanced excitation and inhibition: Model based analysis of local field potentials , 2012, NeuroImage.

[102]  D. Plaut,et al.  A neurally plausible Parallel Distributed Processing model of Event-Related Potential word reading data , 2012, Brain and Language.

[103]  Mark J. Huff,et al.  An Abundance of Riches: Cross-Task Comparisons of Semantic Richness Effects in Visual Word Recognition , 2012, Front. Hum. Neurosci..

[104]  Carson C. Chow,et al.  Repetition priming and repetition suppression: Multiple mechanisms in need of testing , 2012, Cognitive neuroscience.

[105]  Ruth Armstrong,et al.  A time and a place , 2013, The Medical journal of Australia.

[106]  Karl J. Friston,et al.  Structural and Functional Brain Networks: From Connections to Cognition , 2013, Science.

[107]  John C. J. Hoeks,et al.  A time and place for language comprehension: mapping the N400 and the P600 to a minimal cortical network , 2013, Front. Hum. Neurosci..

[108]  Ha Hong,et al.  Performance-optimized hierarchical models predict neural responses in higher visual cortex , 2014, Proceedings of the National Academy of Sciences.

[109]  Milena Rabovsky,et al.  Simulating the N400 ERP component as semantic network error: Insights from a feature-based connectionist attractor model of word meaning , 2014, Cognition.

[110]  R. Henson,et al.  Stimulus–response bindings in priming , 2014, Trends in Cognitive Sciences.

[111]  R. Desimone,et al.  Stimulus repetition modulates gamma-band synchronization in primate visual cortex , 2014, Proceedings of the National Academy of Sciences.

[112]  Andrew D. Engell,et al.  Repetition suppression of face‐selective evoked and induced EEG recorded from human cortex , 2014, Human brain mapping.

[113]  Blair C. Armstrong,et al.  PSPs and ERPs: Applying the dynamics of post-synaptic potentials to individual units in simulation of temporally extended Event-Related Potential reading data , 2014, Brain and Language.

[114]  Nikolaus Kriegeskorte,et al.  Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation , 2014, PLoS Comput. Biol..

[115]  Nikolaus Kriegeskorte,et al.  Deep neural networks: a new framework for modelling biological vision and brain information processing , 2015, bioRxiv.

[116]  Shawn C. Milleville,et al.  Object identification leads to a conceptual broadening of object representations in lateral prefrontal cortex , 2015, Neuropsychologia.

[117]  Gina R Kuperberg,et al.  What do we mean by prediction in language comprehension? , 2016, Language, cognition and neuroscience.

[118]  S. Gotts.  Incremental learning of perceptual and conceptual representations and the puzzle of neural repetition suppression , 2016, Psychonomic bulletin & review.

[119]  Matthew W. Crocker,et al.  A Neurocomputational Model of the N400 and the P600 in Language Processing , 2016, Cognitive science.

[120]  Maryellen C. MacDonald,et al.  Sentence comprehension , 2018 .

[121]  M. Brainin.  Cognition , 1999, Journal of the Neurological Sciences.