Top-down information shapes lexical processing when listening to continuous speech

References

• Ahissar, M., & Hochstein, S. (2004). The reverse hierarchy theory of visual perceptual learning. Trends in Cognitive Sciences, 8(10), 457–464. https://doi.org/10.1016/j.tics.2004.08.011
   PubMed Web of Science ®Google Scholar
• Ahissar, M., Nahum, M., Nelken, I., & Hochstein, S. (2009). Reverse hierarchies and sensory learning. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1515), 285–299. https://doi.org/10.1098/rstb.2008.0253
   PubMed Web of Science ®Google Scholar
• Balota, D. A., Yap, M. J., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., Neely, J. H., Nelson, D. L., Simpson, G. B., & Treiman, R. (2007). The English lexicon project. Behavior Research Methods, 39(3), 445–459. https://doi.org/10.3758/BF03193014
   PubMed Web of Science ®Google Scholar
• Brodbeck, C., Bhattasali, S., Heredia, A. A. C., Resnik, P., Simon, J. Z., & Lau, E. (2022). Parallel processing in speech perception with local and global representations of linguistic context. Elife, 11, e72056. https://doi.org/10.7554/eLife.72056
   PubMed Web of Science ®Google Scholar
• Caucheteux, C., & King, J.-R. (2021). Language processing in brains and deep neural networks: computational convergence and its limits, BioRxiv, 2020–07.
   Google Scholar
• Caucheteux, C., & King, J.-R. (2022). Brains and algorithms partially converge in natural language processing. Communications Biology, 5(1), 1–10. https://doi.org/10.1038/s42003-022-03036-1
   PubMed Web of Science ®Google Scholar
• Cope, T. E., Sohoglu, E., Sedley, W., Patterson, K., Jones, P. S., Wiggins, J., Dawson, C., Grube, M., Carlyon, R. P., Griffiths, T. D., & Davis, M. H. (2017). Evidence for causal top-down frontal contributions to predictive processes in speech perception. Nature Communications, 8(1), 1–16. https://doi.org/10.1038/s41467-016-0009-6
   PubMedGoogle Scholar
• Davis, M. H., Ford, M. A., Kherif, F., & Johnsrude, I. S. (2011). Does semantic context benefit speech understanding through “top–down” processes? Evidence from time-resolved sparse fMRI. Journal of Cognitive Neuroscience, 23(12), 3914–3932. https://doi.org/10.1162/jocn_a_00084
   PubMed Web of Science ®Google Scholar
• Davis, M. H., & Johnsrude, I. S. (2007). Hearing speech sounds: Top-down influences on the interface between audition and speech perception. Hearing Research, 229(1–2), 132–147. https://doi.org/10.1016/j.heares.2007.01.014
   PubMed Web of Science ®Google Scholar
• Duffy, S. A., Morris, R. K., & Rayner, K. (1988). Lexical ambiguity and fixation times in reading. Journal of Memory and Language, 27(4), 429–446. https://doi.org/10.1016/0749-596X(88)90066-6
   Web of Science ®Google Scholar
• Faust, M., & Chiarello, C. (1998). Sentence context and lexical ambiguity resolution by the two hemispheres. Neuropsychologia, 36(9), 827–835. https://doi.org/10.1016/S0028-3932(98)00042-6
   PubMed Web of Science ®Google Scholar
• Fodor, J., Bever, A., & Garrett, T. G. (1974). The psychology of language: An introduction to psycholinguistics and generative grammar.
   Google Scholar
• Friederici, A. D., Pfeifer, E., & Hahne, A. (1993). Event-related brain potentials during natural speech processing: Effects of semantic, morphological and syntactic violations. Cognitive Brain Research, 1(3), 183–192. https://doi.org/10.1016/0926-6410(93)90026-2
   PubMedGoogle Scholar
• Gaston, P., & Marantz, A. (2018). The time course of contextual cohort effects in auditory processing of category-ambiguous words: Meg evidence for a single. Language, Cognition and Neuroscience, 33(4), 402–423. https://doi.org/10.1080/23273798.2017.1395466
   Web of Science ®Google Scholar
• Gennari, S. P., MacDonald, M. C., Postle, B. R., & Seidenberg, M. S. (2007). Context-dependent interpretation of words: Evidence for interactive neural processes. Neuroimage, 35(3), 1278–1286. https://doi.org/10.1016/j.neuroimage.2007.01.015
   PubMed Web of Science ®Google Scholar
• Gibson, E. (2006). The interaction of top–down and bottom–up statistics in the resolution of syntactic category ambiguity. Journal of Memory and Language, 54(3), 363–388. https://doi.org/10.1016/j.jml.2005.12.005
   Web of Science ®Google Scholar
• Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S. A., Feder, A., Emanuel, D., Cohen, A., & Jansen, A. (2022). Shared computational principles for language processing in humans and deep language models. Nature Neuroscience, 25(3), 369–380. https://doi.org/10.1038/s41593-022-01026-4
   PubMed Web of Science ®Google Scholar
• Gouvea, A. C., Phillips, C., Kazanina, N., & Poeppel, D. (2010). The linguistic processes underlying the p600. Language and Cognitive Processes, 25(2), 149–188. https://doi.org/10.1080/01690960902965951
   Web of Science ®Google Scholar
• Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C., Parkkonen, L., & H ̈am ̈al ̈ainen, M. S. (2014). MNE software for processing MEG and EEG data. Neuroimage, 86(2014), 446–460.
   PubMedGoogle Scholar
• Gwilliams, L. (2020). How the brain composes morphemes into meaning. Philosophical Transactions of the Royal Society B: Biological Sciences, 375(1791), 20190311. https://doi.org/10.1098/rstb.2019.0311
   PubMed Web of Science ®Google Scholar
• Gwilliams, L., King, J. R., Marantz, A., & Poeppel, D. (2022). Neural dynamics of phoneme sequences reveal position-invariant code for content and order. Nature Communications, 13(1), 6606. https://doi.org/10.1038/s41467-022-34326-1
   PubMed Web of Science ®Google Scholar
• Gwilliams, L., Linzen, T., Poeppel, D., & Marantz, A. (2018). In spoken word recognition, the future predicts the past. The Journal of Neuroscience, 38(35), 7585–7599. https://doi.org/10.1523/JNEUROSCI.0065-18.2018
   PubMed Web of Science ®Google Scholar
• Gwilliams, L., Poeppel, D., Marantz, A., & Linzen, T. (2017). Phonological (un) certainty weights lexical activation. arXiv preprint arXiv:1711.06729.
   Google Scholar
• Hagoort, P., Hald, L., Bastiaansen, M., & Petersson, K. M. (2004). Integration of word meaning and world knowledge in language comprehension. Science, 304(5669), 438–441. https://doi.org/10.1126/science.1095455
   PubMed Web of Science ®Google Scholar
• Hannemann, R., Obleser, J., & Eulitz, C. (2007). Top-down knowledge supports the retrieval of lexical information from degraded speech. Brain Research, 1153, 134–143. https://doi.org/10.1016/j.brainres.2007.03.069
   PubMed Web of Science ®Google Scholar
• Heilbron, M., Armeni, K., Schoffelen, J.-M., Hagoort, P., & De Lange, F. P. (2022). A hierarchy of linguistic predictions during natural language comprehension. Proceedings of the National Academy of Sciences, 119(32), Article e2201968119. https://doi.org/10.1073/pnas.2201968119
   PubMed Web of Science ®Google Scholar
• Huth, A. G., De Heer, W. A., Griffiths, T. L., Theunissen, F. E., & Gallant, J. L. (2016). Natural speech reveals the semantic maps that tile human cerebral cortex. Nature, 532(7600), 453–458. https://doi.org/10.1038/nature17637
   PubMed Web of Science ®Google Scholar
• Huth, A. G., Nishimoto, S., Vu, A. T., & Gallant, J. L. (2012). A continuous semantic space describes the representation of thousands of object and action categories across the human brain. Neuron, 76(6), 1210–1224. https://doi.org/10.1016/j.neuron.2012.10.014
   PubMed Web of Science ®Google Scholar
• Ide, N., & Macleod, C. (2001). The American national corpus: A standardized resource of American English. In Proceedings of corpus linguistics (Vol. 3, pp. 1–7). Lancaster, UK: Lancaster University Centre for Computer Corpus Research on Language.
   Google Scholar
• Jain, S., & Huth, A. (2018). Incorporating context into language encoding models for fMRI. Advances in Neural Information Processing Systems, 31.
   Google Scholar
• Kaan, E., Harris, A., Gibson, E., & Holcomb, P. (2000). The p600 as an index of syntactic integration difficulty. Language and Cognitive Processes, 15(2), 159–201. https://doi.org/10.1080/016909600386084
   Web of Science ®Google Scholar
• Krovetz, R., & Croft, W. B. (1992). Lexical ambiguity and information retrieval. ACM Transactions on Information Systems, 10(2), 115–141. https://doi.org/10.1145/146802.146810
   Web of Science ®Google Scholar
• Kutas, M., & Hillyard, S. A. (1984). Brain potentials during Reading reflect word expectancy and semantic association. Nature, 307(5947), 161–163. https://doi.org/10.1038/307161a0
   PubMed Web of Science ®Google Scholar
• Lee, C.-L., & Federmeier, K. D. (2009). Wave-ering: An ERP study of syntactic and semantic context effects on ambiguity resolution for noun/verb homographs. Journal of Memory and Language, 61(4), 538–555. https://doi.org/10.1016/j.jml.2009.08.003
   PubMed Web of Science ®Google Scholar
• Lee, Y.-S., Turkeltaub, P., Granger, R., & Raizada, R. D. (2012). Categorical speech processing in Broca’s area: An fMRI study using multivariate pattern-based analysis. Journal of Neuroscience, 32(11), 3942–3948. https://doi.org/10.1523/JNEUROSCI.3814-11.2012
   PubMed Web of Science ®Google Scholar
• Marantz, A. (1997). No escape from syntax: Don’t try morphological analysis in the privacy of your own lexicon. University of Pennsylvania Working Papers in Linguistics, 4(2), 14.
   Google Scholar
• Mesgarani, N., Cheung, C., Johnson, K., & Chang, E. F. (2014). Phonetic feature encoding in human superior temporal gyrus. Science, 343(6174), 1006–1010.
   Google Scholar
• Miller, G. A., & Isard, S. (1963). Some perceptual consequences of linguistic rules. Journal of Verbal Learning and Verbal Behavior, 2(3), 217–228. https://doi.org/10.1016/S0022-5371(63)80087-0
   Google Scholar
• Mollo, G., Jefferies, E., Cornelissen, P., & Gennari, S. P. (2018). Context-dependent lexical ambiguity resolution: Meg evidence for the time-course of activity in left inferior frontal gyrus and posterior middle temporal gyrus. Brain and Language, 177–178, 23–36. https://doi.org/10.1016/j.bandl.2018.01.001
   PubMed Web of Science ®Google Scholar
• Nooteboom, S. G. (1981). Lexical retrieval from fragments of spoken words: Beginnings vs endings. Journal of Phonetics, 9(4), 407–424. https://doi.org/10.1016/S0095-4470(19)31017-4
   Web of Science ®Google Scholar
• Onifer, W., & Swinney, D. A. (1981). Accessing lexical ambiguities during sentence comprehension: Effects of frequency of meaning and contextual bias. Memory & Cognition, 9(3), 225–236. https://doi.org/10.3758/BF03196957
   Web of Science ®Google Scholar
• Pustejovsky, J., & Jezek, E. (2008). Semantic coercion in language: Beyond distributional analysis. Italian Journal of Linguistics, 20(1), 175–208.
   Google Scholar
• Qian, P., Qiu, X., & Huang, X. (2016). Bridging LSTM architecture and the neural dynamics during reading. arXiv preprint arXiv:1604.06635.
   Google Scholar
• Rodd, J. (2018). Lexical ambiguity. In M. Gareth Gaskell & Shirley-Ann Rueschemeyer (Eds.), Oxford handbook of psycholinguistics (pp. 120–144). United Kingdom: OUP Oxford.
   Google Scholar
• Rodd, J., Gaskell, G., & Marslen-Wilson, W. (2002). Making sense of semantic ambiguity: Semantic competition in lexical access. Journal of Memory and Language, 46(2), 245–266. https://doi.org/10.1006/jmla.2001.2810
   Web of Science ®Google Scholar
• Rodd, J. M., Davis, M. H., & Johnsrude, I. S. (2005). The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity. Cerebral Cortex, 15(8), 1261–1269. https://doi.org/10.1093/cercor/bhi009
   PubMed Web of Science ®Google Scholar
• Rodd, J. M., Gaskell, M. G., & Marslen-Wilson, W. D. (2004). Modelling the effects of semantic ambiguity in word recognition. Cognitive Science, 28(1), 89–104. https://doi.org/10.1207/s15516709cog2801_4
   Web of Science ®Google Scholar
• Rodd, J. M., Johnsrude, I. S., & Davis, M. H. (2010). The role of domain-general frontal systems in language comprehension: Evidence from dual-task interference and semantic ambiguity. Brain and Language, 115(3), 182–188. https://doi.org/10.1016/j.bandl.2010.07.005
   PubMed Web of Science ®Google Scholar
• Schrimpf, M., Blank, I. A., Tuckute, G., Kauf, C., Hosseini, E. A., Kanwisher, N., Tenenbaum, J. B., & Fedorenko, E. (2021). The neural architecture of language: Integrative modeling converges on predictive processing. Proceedings of the National Academy of Sciences, 118(45). https://doi.org/10.1073/pnas.2105646118
   Web of Science ®Google Scholar
• Sereno, S. C., O'Donnell, P. J., & Rayner, K. (2006). Eye movements and lexical ambiguity resolution: Investigating the subordinate-bias effect. Journal of Experimental Psychology: Human Perception and Performance, 32(2), 335. https://doi.org/10.1037/0096-1523.32.2.335
   PubMed Web of Science ®Google Scholar
• Simpson, G. B. (1984). Lexical ambiguity and its role in models of word recognition. Psychological Bulletin, 96(2), 316. https://doi.org/10.1037/0033-2909.96.2.316
   PubMed Web of Science ®Google Scholar
• Simpson, G. B., & Kang, H. (1994). Inhibitory processes in the recognition of homograph meanings.
   Google Scholar
• Sohoglu, E., Peelle, J. E., Carlyon, R. P., & Davis, M. H. (2012). Predictive top-down integration of prior knowledge during speech perception. Journal of Neuroscience, 32(25), 8443–8453.
   PubMed Web of Science ®Google Scholar
• Sohoglu, E., Peelle, J. E., Carlyon, R. P., & Davis, M. H. (2014). Top-down influences of written text on perceived clarity of degraded speech. Journal of Experimental Psychology: Human Perception and Performance, 40(1), 186. https://doi.org/10.1037/a0033206
   PubMed Web of Science ®Google Scholar
• Spivey-Knowlton, M. J., Trueswell, J. C., & Tanenhaus, M. K. (1993). Context effects in syntactic ambiguity resolution: Discourse and semantic influences in parsing reduced relative clauses. Canadian Journal of Experimental Psychology / Revue Canadienne de Psychologie Expérimentale, 47(2), 276. https://doi.org/10.1037/h0078826
   PubMed Web of Science ®Google Scholar
• Swinney, D. A., Onifer, W., Prather, P., & Hirshkowitz, M. (1979). Semantic facilitation across sensory modalities in the processing of individual words and sentences. Memory & Cognition, 7(3), 159–165. https://doi.org/10.3758/BF03197534
   PubMed Web of Science ®Google Scholar
• Tabossi, P., Colombo, L., & Job, R. (1987). Accessing lexical ambiguity: Effects of context and dominance. Psychological Research, 49(2), 161–167. https://doi.org/10.1007/BF00308682
   Web of Science ®Google Scholar
• Zekveld, A. A., Heslenfeld, D. J., Festen, J. M., & Schoonhoven, R. (2006). Top–down and bottom–up processes in speech comprehension. Neuroimage, 32(4), 1826–1836. https://doi.org/10.1016/j.neuroimage.2006.04.199
   PubMed Web of Science ®Google Scholar