A Tale of Two Positivities and the N400: Distinct Neural Signatures Are Evoked by Confirmed and Violated Predictions at Different Levels of Representation
暂无分享,去创建一个
[1] Gina R. Kuperberg,et al. Neural mechanisms of language comprehension: Challenges to syntax , 2007, Brain Research.
[2] D. Caplan,et al. The role of animacy and thematic relationships in processing active English sentences: Evidence from event-related potentials , 2007, Brain and Language.
[3] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[4] Linda B. Smith,et al. The Cambridge Handbook of Psycholinguistics: Developing Categories and Concepts , 2012 .
[5] Richard N. Aslin,et al. Learning to Represent a Multi-Context Environment: More than Detecting Changes , 2012, Front. Psychology.
[6] Gary S Dell,et al. The P-chain: relating sentence production and its disorders to comprehension and acquisition , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[7] Kerstin Preuschoff,et al. Balancing New against Old Information: The Role of Puzzlement Surprise in Learning , 2018, Neural Computation.
[8] H. Schriefers,et al. Prediction in language comprehension beyond specific words: An ERP study on sentence comprehension in Polish , 2013 .
[9] Rolf A. Zwaan,et al. Situation models in language comprehension and memory. , 1998, Psychological bulletin.
[10] Rajesh P. N. Rao,et al. Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex , 1997, Neural Computation.
[11] Floris P. de Lange,et al. How Prediction Errors Shape Perception, Attention, and Motivation , 2012, Front. Psychology.
[12] David M. Groppe,et al. Overlapping dual ERP responses to low cloze probability sentence continuations. , 2011, Psychophysiology.
[13] James L. McClelland,et al. Modelling the N400 brain potential as change in a probabilistic representation of meaning , 2018, Nature Human Behaviour.
[14] G. Kuperberg,et al. Reversing expectations during discourse comprehension , 2015, Language, cognition and neuroscience.
[15] J. Nicol,et al. On the Distinctiveness, Independence, and Time Course of the Brain Responses to Syntactic and Semantic Anomalies. , 1999 .
[16] Rajesh P. N. Rao,et al. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. , 1999 .
[17] H. Kolk,et al. Structure and limited capacity in verbal working memory: A study with event-related potentials , 2003, Brain and Language.
[18] C. Van Petten,et al. Prediction during language comprehension: benefits, costs, and ERP components. , 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[19] Dave F. Kleinschmidt,et al. Robust speech perception: recognize the familiar, generalize to the similar, and adapt to the novel. , 2015, Psychological review.
[20] Steven J. Luck,et al. ERPLAB: an open-source toolbox for the analysis of event-related potentials , 2014, Front. Hum. Neurosci..
[21] Kara D. Federmeier. Thinking ahead: the role and roots of prediction in language comprehension. , 2007, Psychophysiology.
[22] M. Kutas,et al. Expect the Unexpected: Event-related Brain Response to Morphosyntactic Violations , 1998 .
[23] Gina R Kuperberg,et al. Separate streams or probabilistic inference? What the N400 can tell us about the comprehension of events , 2016, Language, cognition and neuroscience.
[24] Gina R Kuperberg,et al. What do we mean by prediction in language comprehension? , 2016, Language, cognition and neuroscience.
[25] A. Miyake,et al. Individual Differences in Verbal Working Memory Underlie a Tradeoff Between Semantic and Structural Processing Difficulty During Language Comprehension: An ERP Investigation , 2017, Journal of experimental psychology. Learning, memory, and cognition.
[26] Ellen F. Lau,et al. A Direct Comparison of N400 Effects of Predictability and Incongruity in Adjective-Noun Combination , 2016 .
[27] J. Toomasian. The Case for the Case , 2016, Perfusion.
[28] Kara D. Federmeier,et al. Age-related and individual differences in the use of prediction during language comprehension , 2010, Brain and Language.
[29] Andrea Weber,et al. When One Person's Mistake Is Another's Standard Usage: The Effect of Foreign Accent on Syntactic Processing , 2012, Journal of Cognitive Neuroscience.
[30] M. Traxler,et al. Effects of prediction and contextual support on lexical processing: Prediction takes precedence , 2015, Cognition.
[31] Noah D. Goodman,et al. Wonky worlds: Listeners revise world knowledge when utterances are odd , 2015, CogSci.
[32] Edward J. Alexander,et al. 1 Supplementary Material : What we Know about Knowing : Presuppositions generated by factive verbs influence downstream neural processing , 2018 .
[33] Tai Sing Lee,et al. Hierarchical Bayesian inference in the visual cortex. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.
[34] M. Kutas,et al. Anticipating Words and Their Gender: An Event-related Brain Potential Study of Semantic Integration, Gender Expectancy, and Gender Agreement in Spanish Sentence Reading , 2004, Journal of Cognitive Neuroscience.
[35] P. Holcomb,et al. Event-related brain potentials elicited by syntactic anomaly , 1992 .
[36] 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.
[37] Hartmut Fitz,et al. Getting real about Semantic Illusions: Rethinking the functional role of the P600 in language comprehension , 2012, Brain Research.
[38] Peter,et al. Semantic Unification , 2008 .
[39] W. Kintsch,et al. Strategies of discourse comprehension , 1983 .
[40] Jeffrey Gruber. Studies in lexical relations , 1965 .
[41] Judith F. Kroll,et al. Cognitive control ability mediates prediction costs in monolinguals and bilinguals , 2018, Cognition.
[42] Colin M. Brown,et al. The Mechanism Underlying Backward Priming in a Lexical Decision Task: Spreading Activation versus Semantic Matching , 1998 .
[43] Dorothee J. Chwilla,et al. Monitoring in Language Perception: Mild and Strong Conflicts Elicit Different ERP Patterns , 2010, Journal of Cognitive Neuroscience.
[44] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[45] Jonathan W. Peirce,et al. PsychoPy—Psychophysics software in Python , 2007, Journal of Neuroscience Methods.
[46] James L. McClelland. Integrating probabilistic models of perception and interactive neural networks: a historical and tutorial review , 2013, Front. Psychol..
[47] Rebecca Treiman,et al. The English Lexicon Project , 2007, Behavior research methods.
[48] Richard N. Aslin,et al. Incremental implicit learning of bundles of statistical patterns , 2016, Cognition.
[49] M. Kutas,et al. Brain potentials during reading reflect word expectancy and semantic association , 1984, Nature.
[50] Dietmar Roehm,et al. Semantic prediction in language comprehension: evidence from brain potentials , 2016, Language, cognition and neuroscience.
[51] A. Clark. Whatever next? Predictive brains, situated agents, and the future of cognitive science. , 2013, The Behavioral and brain sciences.
[52] G. Dell,et al. Becoming syntactic. , 2006, Psychological review.
[53] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[54] Aya Meltzer-Asscher,et al. Lexical Inhibition due to Failed Prediction: Behavioral Evidence and ERP Correlates , 2017, Journal of experimental psychology. Learning, memory, and cognition.
[55] Angela J. Yu,et al. Uncertainty, Neuromodulation, and Attention , 2005, Neuron.
[56] Richard D. Morey,et al. Confidence Intervals from Normalized Data: A correction to Cousineau (2005) , 2008 .
[57] M. Schlesewsky,et al. The P600-as-P3 hypothesis revisited: Single-trial analyses reveal that the late EEG positivity following linguistically deviant material is reaction time aligned , 2014, Brain and Language.
[58] R. Jackendoff. The Status of Thematic Relations in Linguistic Theory , 1987 .
[59] Heather J. Ferguson,et al. Dissociable effects of prediction and integration during language comprehension: Evidence from a large-scale study using brain potentials , 2018, bioRxiv.
[60] Beth Levin,et al. English Verb Classes and Alternations: A Preliminary Investigation , 1993 .
[61] G. Kuperberg,et al. Multiple Influences of Semantic Memory on Sentence Processing: Distinct Effects of Semantic Relatedness on Violations of Real-World Event/State Knowledge and Animacy Selection Restrictions. , 2012, Journal of memory and language.
[62] Charles Kemp,et al. Bayesian models of cognition , 2008 .
[63] Jason Bohan,et al. Anomalies at the Borderline of Awareness: An ERP Study , 2011, Journal of Cognitive Neuroscience.
[64] Christian J. Fiebach,et al. Finding the P3 in the P600: Decoding shared neural mechanisms of responses to syntactic violations and oddball targets , 2019, NeuroImage.
[65] T. Landauer,et al. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .
[66] M. Kutas. In the company of other words: Electrophysiological evidence for single-word and sentence context effects , 1993 .
[67] Kara D. Federmeier,et al. A Rose by Any Other Name: Long-Term Memory Structure and Sentence Processing , 1999 .
[68] Jelena Mirkovic,et al. Incrementality and Prediction in Human Sentence Processing , 2009, Cogn. Sci..
[69] 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.
[70] D. Barr,et al. Random effects structure for confirmatory hypothesis testing: Keep it maximal. , 2013, Journal of memory and language.
[71] Colin M. Brown,et al. When and how do listeners relate a sentence to the wider discourse? Evidence from the N400 effect. , 2003, Brain research. Cognitive brain research.
[72] Colin Phillips,et al. A “bag-of-arguments” mechanism for initial verb predictions , 2016 .
[73] C. Gallistel,et al. The Perception of Probability , 2022 .
[74] J. Elman,et al. Generalized event knowledge activation during online sentence comprehension. , 2012, Journal of memory and language.
[75] Jerome L. Myers,et al. Accessing the discourse representation during reading , 1998 .
[76] Phillip J. Holcomb,et al. Neural correlates of processing syntactic, semantic, and thematic relationships in sentences , 2006 .
[77] Hiroko Nakano,et al. Speech and Span: Working Memory Capacity Impacts the Use of Animacy but Not of World Knowledge during Spoken Sentence Comprehension , 2010, Journal of Cognitive Neuroscience.
[78] Ken McRae,et al. People Use their Knowledge of Common Events to Understand Language, and Do So as Quickly as Possible , 2009, Lang. Linguistics Compass.
[79] Nelda Melissa Chavez. Individual differences in verbal working memory, visuo-spatial working memory, and metacognition: Learning from text in a hypertext environment , 2002 .
[80] Pienie Zwitserlood,et al. Dissociating predictability, plausibility and possibility of sentence continuations in reading: evidence from late-positivity ERPs , 2018, PeerJ.
[81] Katherine A. DeLong,et al. Predictability, plausibility, and two late ERP positivities during written sentence comprehension , 2014, Neuropsychologia.
[82] Wilson L. Taylor,et al. “Cloze Procedure”: A New Tool for Measuring Readability , 1953 .
[83] L. Osterhout,et al. The independence of combinatory semantic processing: Evidence from event-related potentials , 2005 .
[84] Curt Burgess,et al. Producing high-dimensional semantic spaces from lexical co-occurrence , 1996 .
[85] P. Schumacher. When combinatorial processing results in reconceptualization: toward a new approach of compositionality , 2013, Front. Psychol..
[86] D. Mumford. On the computational architecture of the neocortex , 2004, Biological Cybernetics.
[87] D. Caplan,et al. Electrophysiological distinctions in processing conceptual relationships within simple sentences. , 2003, Brain research. Cognitive brain research.
[88] Ellen F. Lau,et al. Wait a second! delayed impact of argument roles on on-line verb prediction , 2018 .
[89] Barbara B. Levin,et al. English verb classes and alternations , 1993 .
[90] Michael C. Frank,et al. Predicting Pragmatic Reasoning in Language Games , 2012, Science.
[91] Edward J. Alexander,et al. Neural Evidence for the Prediction of Animacy Features during Language Comprehension: Evidence from MEG and EEG Representational Similarity Analysis , 2019, The Journal of Neuroscience.
[92] Mary Hare,et al. Activating event knowledge , 2009, Cognition.
[93] Michael W. Spratling. Predictive coding as a model of biased competition in visual attention , 2008, Vision Research.
[94] David R. Dowty. On the Semantic Content of the Notion of ‘Thematic Role’ , 1989 .
[95] Dorothee J. Chwilla,et al. Monitoring in Language Perception , 2009, Lang. Linguistics Compass.
[96] A. Dickinson,et al. Neuronal coding of prediction errors. , 2000, Annual review of neuroscience.
[97] Karl J. Friston,et al. A theory of cortical responses , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[98] A. Friederici,et al. Syntactic Gender and Semantic Expectancy: ERPs Reveal Early Autonomy and Late Interaction , 2000, Journal of Cognitive Neuroscience.
[99] Mante S. Nieuwland,et al. When Peanuts Fall in Love: N400 Evidence for the Power of Discourse , 2005, Journal of Cognitive Neuroscience.
[100] Edward W. Wlotko,et al. Going the Extra Mile: Effects of Discourse Context on Two Late Positivities During Language Comprehension , 2020, Neurobiology of Language.
[101] Colin M. Brown,et al. The syntactic positive shift (sps) as an erp measure of syntactic processing , 1993 .
[102] T. Ditman,et al. Electrophysiological insights into the processing of nominal metaphors , 2010, Neuropsychologia.
[103] Laurence Aitchison,et al. With or without you: predictive coding and Bayesian inference in the brain , 2017, Current Opinion in Neurobiology.
[104] C. Van Petten,et al. Lexical versus conceptual anticipation during sentence processing: frontal positivity and N400 ERP components. , 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[105] D Mumford,et al. On the computational architecture of the neocortex. II. The role of cortico-cortical loops. , 1992, Biological cybernetics.
[106] Gina R Kuperberg,et al. Electrophysiological evidence for use of the animacy hierarchy, but not thematic role assignment, during verb-argument processing , 2011, Language and cognitive processes.
[107] P. Schwanenflugel,et al. Semantic relatedness and the scope of facilitation for upcoming words in sentences. , 1988 .
[108] 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.
[109] Marta Kutas,et al. CHAPTER 15 A Look around at What Lies Ahead: Prediction and Predictability in Language Processing , 2010 .
[110] Sandy Polishuk. I Look Around , 2003 .
[111] Pierre Baldi,et al. Of bits and wows: A Bayesian theory of surprise with applications to attention , 2010, Neural Networks.
[112] H. H. Clark. The language-as-fixed-effect fallacy: A critique of language statistics in psychological research. , 1973 .
[113] Martin Paczynski,et al. Establishing Causal Coherence across Sentences: An ERP Study , 2011, Journal of Cognitive Neuroscience.
[114] Ellen F. Lau,et al. Dissociating N400 Effects of Prediction from Association in Single-word Contexts , 2013, Journal of Cognitive Neuroscience.
[115] Peter W. Foltz,et al. An introduction to latent semantic analysis , 1998 .
[116] Kara D. Federmeier,et al. Multiple effects of sentential constraint on word processing , 2007, Brain Research.
[117] Ellen F. Lau,et al. A cortical network for semantics: (de)constructing the N400 , 2008, Nature Reviews Neuroscience.