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Thirty years and counting: finding meaning in the N400 component of the event-related brain potential (ERP).
Open accessAbstract
We review the discovery, characterization, and evolving use of the N400, an event-related brain potential response linked to meaning processing. We describe the elicitation of N400s by an impressive range of stimulus types—including written, spoken, and signed words or pseudowords; drawings, photos, and videos of faces, objects, and actions; sounds; and mathematical symbols—and outline the sensitivity of N400 amplitude (as its latency is remarkably constant) to linguistic and nonlinguistic manipulations. We emphasize the effectiveness of the N400 as a dependent variable for examining almost every aspect of language processing and highlight its expanding use to probe semantic memory and to determine how the neurocognitive system dynamically and flexibly uses bottom-up and top-down information to make sense of the world. We conclude with different theories of the N400's functional significance and offer an N400-inspired reconceptualization of how meaning processing might unfold.
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“N400 is related to semantic processing that is elicited by various kinds of stimuli, such as words, speech, and pictures (for a review, see Kutas and Federmeier, 2011).”
From Advantage of Handwriting Over Typing on Learning Words: Evidence From an N400 Event-Related Potential Index (2021) · cites this paper as Kutas and Federmeier, 2011
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“We draw on evidence from an electrophysiological measure that has been shown to be extremely useful for studying the timeline of semantic processing: the N400 (already mentioned in Section 2; for reviews see Hagoort & van Berkum, 2007;Kutas and Federmeier, 2011;van Berkum et al., 2005).”
From Grounding the neurobiology of language in first principles: The necessity of non-language-centric explanations for language comprehension (2018) · cites this paper as Kutas and Federmeier, 2011
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Citations
Cites
Reading Senseless Sentences: Brain Potentials Reflect Semantic Incongruity
Marta Kutas, A., & Hillyard, S. A. (1980) · Science · doi:10.1126/science.7350657 · Cited by 5,029
Electrophysiology reveals semantic memory use in language comprehension.
Kutas, M., & Federmeier, K. D. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01560-6 · Cited by 2,124
Self-citationA cortical network for semantics: (de)constructing the N400
Lau, E. F., Phillips, C., & Poeppel, D. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2532 · Cited by 1,779
Augmenting mental chronometry: The P300 as a measure of stimulus evaluation time
Kutas, M., McCarthy, G., & Donchin, E. (1977) · Science · doi:10.1126/science.887923 · Cited by 1,714
The Handbook of Psycholinguistics
(2017) · Wiley eBooks · doi:10.1002/9781118829516 · Cited by 1,615
Integration of word meaning and world knowledge in language comprehension
Hagoort, P., Hald, L., Bastiaansen, M., & Petersson, K. M. (2004) · Science · doi:10.1126/science.1095455 · Cited by 1,396
Event-related potentials and recognition memory
Rugg, M. D., & Curran, T. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.04.004 · Cited by 1,283
DeLong, K. A., Urbach, T. P., & Marta Kutas, A. (2005) · Nature Neuroscience · doi:10.1038/nn1504 · Cited by 1,236
Event-related potential studies of attention.
Luck, S., Woodman, G., & Vogel, E. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01545-x · Cited by 1,209
The E-Z Reader model of eye-movement control in reading: Comparisons to other models
Reichle, E. D., Rayner, K., & Pollatsek, A. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03000104 · Cited by 1,130
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(2021) · Research methods in applied linguistics · doi:10.1075/rmal · Cited by 2,782
What do we mean by prediction in language comprehension?
Kuperberg, G. R., & Jaeger, T. F. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1102299 · Cited by 1,087
An ERP study on L2 syntax processing: When do learners fail?
Meulman, N., Stowe, L. A., Sprenger, S., Bresser, M., & Schmid, M. S. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01072 · Cited by 1,011
Tager‐Flusberg, H., & Kasari, C. (2013) · Autism Research · doi:10.1002/aur.1329 · Cited by 985
The bilingual adaptation: How minds accommodate experience
Bialystok, E. (2017) · Psychological Bulletin · doi:10.1037/bul0000099 · Cited by 906
Prediction during language comprehension: Benefits, costs, and ERP components
Petten, C. K. V., & Luka, B. J. (2011) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.09.015 · Cited by 828
The effect of word predictability on reading time is logarithmic
Smith, N. J., & Levy, R. (2013) · Cognition · doi:10.1016/j.cognition.2013.02.013 · Cited by 725
How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics
Pulvermüller, F. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.06.004 · Cited by 631
Brouwer, H., Fitz, H., & Hoeks, J. (2012) · Brain Research · doi:10.1016/j.brainres.2012.01.055 · Cited by 625
The sound symbolism bootstrapping hypothesis for language acquisition and language evolution
Imai, M., & Kita, S. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0298 · Cited by 335
Shared computational principles for language processing in humans and deep language models
Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S. A., Feder, A., Emanuel, D., Cohen, A., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01026-4 · Cited by 447
MUC (Memory, Unification, Control) and beyond
Peter Hagoort, A. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00416 · Cited by 470
The Oxford Handbook of Information Structure
Féry, C., & Ishihara, S. (2014) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199642670.001.0001 · Cited by 429
Four central questions about prediction in language processing
Huettig, F. (2015) · Brain Research · doi:10.1016/j.brainres.2015.02.014 · Cited by 405
Broderick, M. P., Anderson, A. J., Liberto, G. M. D., Crosse, M. J., & Lalor, E. C. (2018) · Current Biology · doi:10.1016/j.cub.2018.01.080 · Cited by 403
ERPs reveal individual differences in morphosyntactic processing
Tanner, D., & van Hell, J. G. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.02.002 · Cited by 401
How Stuttering Develops: The Multifactorial Dynamic Pathways Theory
Smith, A., & Weber, C. (2017) · Journal of Speech Language and Hearing Research · doi:10.1044/2017_jslhr-s-16-0343 · Cited by 373
Bilinguals reading in their second language do not predict upcoming words as native readers do
Martin, C. D., Thierry, G., Kuipers, J.-R., Boutonnet, B., Foucart, A., & Costa, A. (2013) · Journal of Memory and Language · doi:10.1016/j.jml.2013.08.001 · Cited by 354
Tanner, D., Morgan‐Short, K., & Luck, S. J. (2015) · Psychophysiology · doi:10.1111/psyp.12437 · Cited by 347
Large-scale replication study reveals a limit on probabilistic prediction in language comprehension
Nieuwland, M. S., Politzer‐Ahles, S., Heyselaar, E., Segaert, K., Darley, E., Kazanina, N., Wolfsthurn, S. V. G. Z., Bartolozzi, F., Kogan, V. V., Ito, A., et al. (2018) · eLife · doi:10.7554/elife.33468 · Cited by 375
Jacobs, A. M. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00186 · Cited by 369
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Language as a multimodal phenomenon: implications for language learning, processing and evolution
Vigliocco, G., Perniss, P., & Vinson, D. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0292 · Cited by 359
Meyer, L. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13748 · Cited by 326
The Declarative/Procedural Model
Ullman, M. T. (2016) · Neurobiology of Language · doi:10.1016/b978-0-12-407794-2.00076-6 · Cited by 294
Modelling the N400 brain potential as change in a probabilistic representation of meaning
Rabovsky, M., Hansen, S. S., & McClelland, J. L. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0406-4 · Cited by 290
Prediction during natural language comprehension
Willems, R. M., Frank, S. L., Nijhof, A. D., Hagoort, P., & van den Bosch, A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv075 · Cited by 288
Neural reuse of action perception circuits for language, concepts and communication
Friedemann Pulvermüller, A. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.07.001 · Cited by 311
Dissociating N400 Effects of Prediction from Association in Single-word Contexts
Lau, E. F., Holcomb, P. J., & Kuperberg, G. R. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00328 · Cited by 287
Babiloni, C., Blinowska, K. J., Bonanni, L., Cichocki, A. S., de Haan, W., Percio, C. D., Dubois, B., Escudero, J., Fernández, A., Frisoni, G. B., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.09.008 · Cited by 295
Amenta, S., & Crepaldi, D. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00232 · Cited by 277
Effects of Language on Visual Perception
Lupyan, G., Rahman, R. A., Boroditsky, L., & Clark, A. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.08.005 · Cited by 282
Neural correlates of cognitive processing in monolinguals and bilinguals
Grundy, J. G., Anderson, J. A. E., & Bialystok, E. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13333 · Cited by 272
Mu, Y., Kitayama, S., Han, S., & Gelfand, M. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1509839112 · Cited by 254
A compensatory role for declarative memory in neurodevelopmental disorders
Ullman, M. T., & Pullman, M. Y. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.01.008 · Cited by 263
Sound symbolism scaffolds language development in preverbal infants
Asano, M., Imai, M., Kita, S., Kitajo, K., Okada, H., & Thierry, G. (2014) · Cortex · doi:10.1016/j.cortex.2014.08.025 · Cited by 240
At what time is the cocktail party? A late locus of selective attention to natural speech
Power, A. J., Foxe, J. J., Forde, E., Reilly, R. B., & Lalor, E. C. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08060.x · Cited by 231
Testing theories of irony processing using eye-tracking and ERPs.
Filik, R., Leuthold, H., Wallington, K., & Page, J. (2014) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0035658 · Cited by 230
Differential Electrophysiological Signatures of Semantic and Syntactic Scene Processing
Võ, M. L. ‐., & Wolfe, J. M. (2013) · Psychological Science · doi:10.1177/0956797613476955 · Cited by 241
Concreteness in word processing: ERP and behavioral effects in a lexical decision task
Barber, H. A., Otten, L. J., Kousta, S. T., & Vigliocco, G. (2013) · Brain and Language · doi:10.1016/j.bandl.2013.01.005 · Cited by 248
Kuperberg, G. R., Brothers, T. A., & Wlotko, E. W. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01465 · Cited by 244
ERP CORE: An open resource for human event-related potential research
Kappenman, E. S., Farrens, J. L., Zhang, W., Stewart, A. X., & Luck, S. J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117465 · Cited by 223
Electrophysiological Evidence for the Understanding of Maternal Speech by 9-Month-Old Infants
Parise, E., & Csibra, G. (2012) · Psychological Science · doi:10.1177/0956797612438734 · Cited by 231
Sassenhagen, J., Schlesewsky, M., & Bornkessel‐Schlesewsky, I. (2014) · Brain and Language · doi:10.1016/j.bandl.2014.07.010 · Cited by 233
A predictive coding framework for rapid neural dynamics during sentence-level language comprehension
Lewis, A., & BASTIAANSEN, M. C. M. (2015) · Cortex · doi:10.1016/j.cortex.2015.02.014 · Cited by 226
Nieuwland, M. S., Barr, D. J., Bartolozzi, F., Busch‐Moreno, S., Darley, E., Donaldson, D. I., Ferguson, H. J., Fu, X., Heyselaar, E., Huettig, F., et al. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0522 · Cited by 203
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Sanz, C., & Morales‐Front, A. (2018) · Routledge eBooks · doi:10.4324/9781315639970 · Cited by 202
Affective neurolinguistics: towards a framework for reconciling language and emotion
Hinojosa, J. A., Moreno, E. M., & Ferré, P. (2019) · Language Cognition and Neuroscience · doi:10.1080/23273798.2019.1620957 · Cited by 200
Neural correlate of the construction of sentence meaning
Fedorenko, E., Scott, T. L., Brunner, P., Coon, W. G., Pritchett, B., Schalk, G., & Kanwisher, N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612132113 · Cited by 199
(Pea)nuts and bolts of visual narrative: Structure and meaning in sequential image comprehension
Cohn, N., Paczynski, M., Jackendoff, R. S., Holcomb, P. J., & Kuperberg, G. R. (2012) · Cognitive Psychology · doi:10.1016/j.cogpsych.2012.01.003 · Cited by 206
Thornhill, D. E., & Petten, C. K. V. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.12.007 · Cited by 196
Voss, J. L., & Federmeier, K. D. (2010) · Psychophysiology · doi:10.1111/j.1469-8986.2010.01085.x · Cited by 193
Self-citationRabovsky, M., & McRae, K. (2014) · Cognition · doi:10.1016/j.cognition.2014.03.010 · Cited by 200
van Elk, M., van Schie, H. T., & Harold Bekkering, A. (2013) · Physics of Life Reviews · doi:10.1016/j.plrev.2013.11.005 · Cited by 195
Crosse, M. J., Zuk, N. J., Liberto, G. M. D., Nidiffer, A. R., Molholm, S., & Lalor, E. C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.705621 · Cited by 204
Armstrong, B. C., Ruiz-Blondet, M. V., Khalifian, N., Kurtz, K. J., Jin, Z., & Laszlo, S. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.04.025 · Cited by 183
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Bornkessel‐Schlesewsky, I., & Schlesewsky, M. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00298 · Cited by 196
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Bice, K., & Kroll, J. F. (2019) · Brain and Language · doi:10.1016/j.bandl.2019.104644 · Cited by 176
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Ito, A., Corley, M. M. B., Pickering, M. J., Martin, A. E., & Nieuwland, M. S. (2015) · Journal of Memory and Language · doi:10.1016/j.jml.2015.10.007 · Cited by 192
Native language change during early stages of second language learning
Bice, K., & Kroll, J. F. (2015) · Neuroreport · doi:10.1097/wnr.0000000000000453 · Cited by 173
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Lin, M.-H. J., Cross, S. N. N., Jones, W. J., & Childers, T. L. (2018) · European Journal of Marketing · doi:10.1108/ejm-12-2016-0805 · Cited by 185
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Bakarov, A. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1801.09536 · Cited by 208
Wlotko, E. W., & Federmeier, K. D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.054 · Cited by 172
Self-citationDelogu, F., Brouwer, H., & Crocker, M. W. (2019) · Brain and Cognition · doi:10.1016/j.bandc.2019.05.007 · Cited by 172
Brouwer, H., & Hoeks, J. C. J. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00758 · Cited by 184
Lack of selectivity for syntax relative to word meanings throughout the language network
Fedorenko, E., Blank, I. A., Siegelman, M., & Mineroff, Z. (2020) · Cognition · doi:10.1016/j.cognition.2020.104348 · Cited by 170
1/ f Neural Noise and Electrophysiological Indices of Contextual Prediction in Normative Aging
Dave, S., Brothers, T. A., & Swaab, T. Y. (2017) · Brain Research · doi:10.1016/j.brainres.2018.04.007 · Cited by 180
Dikker, S., Silbert, L. J., Hasson, U., & Zevin, J. D. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3796-13.2014 · Cited by 167
The representation and processing of identical cognates by late bilinguals: RT and ERP effects
Peeters, D., Dijkstra, T., & Grainger, J. (2013) · Journal of Memory and Language · doi:10.1016/j.jml.2012.12.003 · Cited by 164
Beta oscillations relate to the N400m during language comprehension
Wang, L., Jensen, O. B., van den Brink, D., Weder, N., Schoffelen, J., Magyari, L., Peter Hagoort, A., & BASTIAANSEN, M. C. M. (2012) · Human Brain Mapping · doi:10.1002/hbm.21410 · Cited by 164
Attentional orienting towards emotion: P2 and N400 ERP effects.
Kanske, P., Plitschka, J., & Kotz, S. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.07.022 · Cited by 157
Ibáñez, A. M., Cardona, J. F., Vidal, Y., Blenkmann, A. O., Aravena, P., Roca, M., Hurtado, E., Nerguizian, M., Amoruso, L., Gómez-Arévalo, G., et al. (2012) · Cortex · doi:10.1016/j.cortex.2012.02.014 · Cited by 176
Borovsky, A., Elman, J. L., & Marta Kutas, A. (2012) · Language Learning and Development · doi:10.1080/15475441.2011.614893 · Cited by 161
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Leckey, M., & Federmeier, K. D. (2020) · Psychophysiology · doi:10.1111/psyp.13351 · Cited by 160
“The N400, instead, is part of the normal response to words and is now widely taken to index the access of semantic information associated with incoming stimuli (see Kutas & Federmeier, 2011, for a review).”
BackgroundSelf-citationPre‐Processing in Sentence Comprehension: Sensitivity to Likely Upcoming Meaning and Structure
DeLong, K. A., Troyer, M., & Marta Kutas, A. (2014) · Language and Linguistics Compass · doi:10.1111/lnc3.12093 · Cited by 172
Lai, V. T., & Curran, T. (2013) · Brain and Language · doi:10.1016/j.bandl.2013.09.010 · Cited by 160
Pires, L., Leitão, J., Guerrini, C., & Simões, M. R. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9275-4 · Cited by 171
Beres, A. M. (2017) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-017-9371-3 · Cited by 159
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Strijkers, K., & Costa, A. (2016) · Language Cognition and Neuroscience · doi:10.1080/23273798.2015.1120878 · Cited by 163
Hasson, U., Egidi, G., Marelli, M., & Willems, R. M. (2018) · Cognition · doi:10.1016/j.cognition.2018.06.018 · Cited by 157
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Bambini, V., Bertini, C., Schaeken, W., Stella, A., & Russo, F. D. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00559 · Cited by 157
Cognitive neurophysiology: Event-related potentials
Helfrich, R. F., & Knight, R. T. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64032-1.00036-9 · Cited by 168
Cortical encoding of melodic expectations in human temporal cortex
Liberto, G. M. D., Pelofi, C., Bianco, R., Patel, P., Mehta, A. D., Herrero, J. L., Alain De Cheveigné, A., Shamma, S., & Mesgarani, N. (2020) · eLife · doi:10.7554/elife.51784 · Cited by 161
Bilingual experience shapes language processing: Evidence from codeswitching
Beatty‐Martínez, A. L., & Dussias, P. E. (2017) · Journal of Memory and Language · doi:10.1016/j.jml.2017.04.002 · Cited by 155
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Boutonnet, B., & Lupyan, G. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5111-14.2015 · Cited by 154
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Brothers, T. A., Swaab, T. Y., & Traxler, M. J. (2016) · Journal of Memory and Language · doi:10.1016/j.jml.2016.10.002 · Cited by 170
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Hagoort, P. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.048 · Cited by 150
Walenski, M., Europa, E., Caplan, D. N., & Thompson, C. K. (2019) · Human Brain Mapping · doi:10.1002/hbm.24523 · Cited by 159
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Pavone, E. F., Tieri, G., Rizza, G., Tidoni, E., Grisoni, L., & Aglioti, S. M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0494-15.2016 · Cited by 146
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Schotter, E. R. (2013) · Journal of Memory and Language · doi:10.1016/j.jml.2013.09.002 · Cited by 144
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Metadata
- Authors
- Kutas, M., & Federmeier, K. D.
- Affiliations
- Departments of Cognitive Science and Neurosciences, Center for Research in Language, Kavli Institute for Brain and Mind, University of California, San Diego, California 92093;
- University of Illinois Urbana-Champaign (US)
- ORCID
- Federmeier, Kara D.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 2011-01-10
- Volume
- 62
- Issue
- 1
- Pages
- 621-647
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- PMC
- PMC4052444
- OpenAlex
- W2141138276
- Cited by
- 4,377
- References
- 106
- Citations by year
- 2026: 317 · 2025: 354 · 2024: 323 · 2023: 302 · 2022: 312 · 2021: 358 · 2020: 434 · 2019: 346 · 2018: 276 · 2017: 274 · 2016: 237 · 2015: 266 · 2014: 220 · 2013: 166 · 2012: 136
- FWCI
- 8.31
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG008313, AG26308, R01AG026308, AG83013)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD022614, R01HD022614)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
- Keywords
- N400, event-related potentials, semantic processing, semantic memory, language processing, meaning processing, top-down processing, bottom-up processing, word recognition, pseudowords, mathematical symbols
- MeSH terms
- Brain, Brain Mapping, Electroencephalography, Evoked Potentials, Humans, Language, Memory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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