1,037
Views
0
CrossRef citations to date
0
Altmetric
REGULAR ARTICLES

Abstract representations in temporal cortex support generative linguistic processing

, , , & ORCID Icon
Pages 765-778 | Received 08 Mar 2022, Accepted 21 Nov 2022, Published online: 19 Dec 2022

References

  • Altmann, G. T. M. (2002). Learning and development in neural networks – The importance of prior experience. Cognition, 85(2), B43–B50. https://doi.org/10.1016/S0010-0277(02)00106-3
  • Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
  • Berent, I. (2002). Identity avoidance in the Hebrew lexicon: Implications for symbolic accounts of word formation. Brain and Language, 81(1-3), 326–341. https://doi.org/10.1006/brln.2001.2528
  • Berent, I. (2013). The phonological mind. Trends in Cognitive Sciences, 17(7), 319–327. https://doi.org/10.1016/j.tics.2013.05.004
  • Berent, I., Marcus, G. F., Shimron, J., & Gafos, A. I. (2002). The scope of linguistic generalizations: Evidence from Hebrew word formation. Cognition, 83(2), 113–139. https://doi.org/10.1016/s0010-0277(01)00167-6
  • Berent, I., Wilson, C., Marcus, G. F., & Bemis, D. K. (2012). On the role of variables in phonology: Remarks on Hayes and Wilson 2008. Linguistic Inquiry, 43(1), 97–119. https://doi.org/10.1162/LING_a_00075
  • Bergerbest, D., Ghahremani, D. G., & Gabrieli, J. D. (2004). Neural correlates of auditory repetition priming: Reduced fMRI activation in the auditory cortex. Journal of Cognitive Neuroscience, 16(6), 966–977. https://doi.org/10.1162/0898929041502760
  • Boersma, P., & Weenick, D. (2015). Praat: Doing phonetics by computer [Computer program]. Version 6.0.55, Retrieved June 13, 2019, from http://www.praat.org/. In (Version 6.0) http://www.praat.org/
  • Chomsky, N. (1957). Syntactic structures. Mouton.
  • Chomsky, N. (1965). Aspects of the theory of syntax. The MIT Press.
  • Cichy, R. M., Pantazis, D., & Oliva, A. (2014). Resolving human object recognition in space and time. Nature Neuroscience, 17(3), 455–462. https://doi.org/10.1038/nn.3635
  • Dennett, D. C. (1987). The intentional stance. The MIT Press.
  • Desikan, R., Ségonne, F., Fischl, B., Quinn, B., Dickerson, B., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., Albert, M. S., & Killiany, R. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage, 31(3), 968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021
  • Endress, A. D., Dehaene-Lambertz, G., & Mehler, J. (2007). Perceptual constraints and the learnability of simple grammars. Cognition, 105(3), 577–614. https://doi.org/10.1016/j.cognition.2006.12.014
  • Ewbank, M. P., Lawson, R. P., Henson, R. N., Rowe, J. B., Passamonti, L., & Calder, A. J. (2011). Changes in “top-down” connectivity underlie repetition suppression in the ventral visual pathway. Journal of Neuroscience, 31(15), 5635–5642. https://doi.org/10.1523/jneurosci.5013-10.2011
  • Fischl, B. (2012). Freesurfer. NeuroImage, 62(2), 774–781. https://doi.org/10.1016/j.neuroimage.2012.01.021
  • Fodor, J. A., & Pylyshyn, Z. W. (1988). Connectionism and cognitive architecture: A critical analysis. Cognition, 28(1-2), 3–71. https://doi.org/10.1016/0010-0277(88)90031-5
  • Garraffa, M., & Fyndanis, V. (2020). Linguistic theory and aphasia: An overview. Aphasiology, 34(8), 905–926. https://doi.org/10.1080/02687038.2020.1770196
  • Ghomeshi, J., Jackendoff, R., Rosen, N., & Russell, K. (2004). Contrastive focus reduplication in English (the salad-salad paper). Natural Language & Linguistic Theory, 22(2), 307–357. https://doi.org/10.1023/B:NALA.0000015789.98638.f9
  • Giraud, A. L., & Poeppel, D. (2012). Cortical oscillations and speech processing: Emerging computational principles and operations. Nature Neuroscience, 15(4), 511–517. https://doi.org/10.1038/nn.3063
  • Gomez, R. L., Gerken, L., & Schvaneveldt, R. W. (2000). The basis of transfer in artificial grammar learning. Memory & Cognition, 28(2), 253–263. https://doi.org/10.3758/bf03213804
  • Gow, D. W. (2012). The cortical organization of lexical knowledge: A dual lexicon model of spoken language processing. Brain and Language, 121(3), 273–288. https://doi.org/10.1016/j.bandl.2012.03.005
  • Gow, Jr., D. W., & Caplan, D. N. (2012). New levels of language processing complexity and organization revealed by granger causation. Frontiers in Psychology, 3, 506. https://doi.org/10.3389/fpsyg.2012.00506
  • Gow, D. W., & Nied, A. (2014). Rules from words: A dynamic neural basis for a lawful linguistic process. PLoS ONE, 9(1), 1–12. https://doi.org/10.1371/journal.pone.0086212
  • Gow, D. W., & Olson, B. B. (2015). Lexical mediation of phonotactic frequency effects on spoken word recognition: A Granger causality analysis of MRI-constrained MEG/EEG data. Journal of Memory and Language, 82, 41–55. https://doi.org/10.1016/j.jml.2015.03.004
  • Gow, D. W., & Olson, B. B. (2016). Sentential influences on acoustic-phonetic processing: A Granger causality analysis of multimodal imaging data. Language, Cognition and Neuroscience, 31(7 ), 841–855. https://doi.org/10.1080/23273798.2015.1029498
  • Gow, D. W., Schoenhaut, A., Avcu, E., & Ahlfors, S. (2021). Behavioral and neurodynamic effects of word learning on phonotactic repair. Frontiers in Psychology, 12, 590155. https://doi.org/10.3389/fpsyg.2021.590155
  • Gow, D. W., Segawa, J. A., Ahlfors, S. P., & Lin, F.-H. (2008). Lexical influences on speech perception: A Granger causality analysis of MEG and EEG source estimates. NeuroImage, 43(3), 614–623. https://doi.org/10.1016/j.neuroimage.2008.07.027
  • Graves, W. W., Grabowski, T. J., Mehta, S., & Gupta, P. (2008). The left posterior superior temporal gyrus participates specifically in accessing lexical phonology. Journal of Cognitive Neuroscience, 20(9), 1698–1710. https://doi.org/10.1162/jocn.2008.20113
  • 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
  • Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews Neuroscience, 8(5), 393–402. https://doi.org/10.1038/nrn2113
  • Hsu, Y. F., Hämäläinen, J. A., & Waszak, F. (2014). Repetition suppression comprises both attention-independent and attention-dependent processes. Neuroimage, 98, 168–175. https://doi.org/10.1016/j.neuroimage.2014.04.084
  • Jackendoff, R. (2002). Foundations of language: Brain, meaning, grammar, evolution. Oxford University Press.
  • Jackendoff, R., & Audring, J. (2020). Morphology and memory: Toward an integrated theory. Topics in Cognitive Science, 12(1), 170–196. https://doi.org/10.1111/tops.12334
  • James, T. W., & Gauthier, I. (2006). Repetition-induced changes in BOLD response reflect accumulation of neural activity. Human Brain Mapping, 27(1), 37–46. https://doi.org/10.1002/hbm.20165
  • Kemp, C., & Tenenbaum, J. B. (2008). The discovery of structural form. Proceedings of the National Academy of Sciences, 105(31), 10687–10692. https://doi.org/10.1073/pnas.0802631105
  • Kriegeskorte, N., & Diedrichsen, J. (2019). Peeling the onion of brain representations. Annual Review of Neuroscience, 42(1), 407–432. https://doi.org/10.1146/annurev-neuro-080317-061906
  • LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539
  • Li, H. G., Leonard, M. K., & Chang, E. F. (2019). The encoding of speech sounds in the superior temporal gyrus. Neuron, 102(6), 1096–1110. https://doi.org/10.1016/j.neuron.2019.04.023
  • Marcus, G. F. (2001). The algebraic mind: Integrating connectionism and cognitive science. MIT Press.
  • Marcus, G. F., Vijayan, S., Bandi Rao, S., & Vishton, P. M. (1999). Rule learning by seven-month-old infants. Science, 283(5398), 77–80. https://doi.org/10.1126/science.283.5398.77
  • Marinković, K. (2004). Spatiotemporal dynamics of word processing in the human cortex. The Neuroscientist, 10(2), 142–152. https://doi.org/10.1177/1073858403261018
  • Maris, E., & Oostenveld, R. (2007). Nonparametric statistical testing of EEG- and MEG-data. Journal of Neuroscience Methods, 164(1), 177–190. https://doi.org/10.1016/j.jneumeth.2007.03.024
  • Marslen-Wilson, W. D., & Tyler, L. K. (2007). Morphology, language and the brain: The decompositional substrate for language comprehension. Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1481), 823–836. https://doi.org/10.1098/rstb.2007.2091
  • Massaro, D. W., & Cohen, M. M. (1983). Phonological context in speech perception. Perception & Psychophysics, 34(4), 338–348. https://doi.org/10.3758/BF03203046
  • Mattiola, S., & Masini, F. (2022). Discontinuus reduplication: A typological sketch. STUF - Language Typology and Universals, 75(2), 271–316. https://doi.org/10.1515/stuf-2022-1055
  • McClelland, J. L., & Elman, J. L. (1986). The TRACE model of speech perception. Cognitive Psychology, 18(1), 1–86. https://doi.org/10.1016/0010-0285(86)90015-0
  • Mesgarani, N., Cheung, C., Johnson, K., & Chang, E. F. (2014). Phonetic feature encoding in human superior temporal gyrus. Science, 343(6174), 1006–1010. https://doi.org/10.1126/science.1245994
  • Milde, T., Leistritz, L., Astolfi, L., Miltner, W. H., Weiss, T., Babiloni, F., & Witte, H. (2010). A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials. NeuroImage, 50(3), 960–969. https://doi.org/10.1016/j.neuroimage.2009.12.110
  • Muysken, P. (2013). Language contact outcomes as the result of bilingual optimization strategies. Bilingualism: Language and Cognition, 16(4), 709–730. https://doi.org/10.1017/S1366728912000727
  • Noguchi, Y., Inui, K., & Kakigi, R. (2004). Temporal dynamics of neural adaptation effect in the human visual ventral stream. Journal of Neuroscience, 24(28), 6283–6290. https://doi.org/10.1523/jneurosci.0655-04.2004
  • Oganian, Y., & Chang, E. F. (2019). A speech envelope landmark for syllable encoding in human superior temporal gyrus. Science Advances, 5(11). https://doi.org/10.1126/sciadv.aay6279
  • Pinker, S. (1984). Language learnability and language acqusition. Harvard University Press.
  • Pinker, S., & Ullman, M. T. (2002). The past and future of the past tense. Trends in Cognitive Sciences, 6(11), 456–463. https://doi.org/10.1016/S1364-6613(02)01990-3
  • Prince, A., & Smolensky, P. (2004). Optimality theory: Constraint interaction in generative grammar. Blackwell.
  • Rubino, C. (2013). Reduplication. Max Planck Institute for Evolutionary Anthropology. Retrieved December 23, 2020, from http://wals.info/chapter/27
  • Rumelhart, D. E., & McClelland, J. L. (1986). PDP models and general issues in cognitive science. In D. E. Rumelhart, J. L. McClelland (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (pp. 110–146). Bradford Books/MIT Press.
  • Segaert, K., Weber, K., de Lange, F. P., Petersson, K. M., & Hagoort, P. (2013). The suppression of repetition enhancement: A review of fMRI studies. Neuropsychologia, 51(1), 59–66. https://doi.org/10.1016/j.neuropsychologia.2012.11.006
  • Seidenberg, M. S., & Plaut, D. C. (2014). Quasiregularity and its discontents: The legacy of the past tense debate. Cognitive Science, 38(6), 1190–1228. https://doi.org/10.1111/cogs.12147
  • Sharon, D., Hämäläinen, M. S., Tootell, R. B., Halgren, E., & Belliveau, J. W. (2007). The advantage of combining MEG and EEG: Comparison to fMRI in focally stimulated visual cortex. NeuroImage, 36(4), 1225–1235. https://doi.org/10.1016/j.neuroimage.2007.03.066
  • Summerfield, C., Trittschuh, E. H., Monti, J. M., Mesulam, M. M., & Egner, T. (2008). Neural repetition suppression reflects fulfilled perceptual expectations. Nature Neuroscience, 11(9), 1004–1006. https://doi.org/10.1038/nn.2163
  • Tavazoie, S., Hughes, J. D., Campbell, M. J., Cho, R. J., & Church, G. M. (1999). Systematic determination of genetic network architecture. Nature Genetics, 22(3), 281–285. https://doi.org/10.1038/10343
  • Tenenbaum, J. B., Kemp, C., Griffiths, T. L., & Goodman, N. D. (2011). How to grow a mind: Statistics, structure, and abstraction. Science, 331(6022), 1279–1285. https://doi.org/10.1126/science.1192788
  • Tunney, R. J., & Altmann, G. T. (2001). Two modes of transfer in artificial grammar learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(3), 614–639. https://doi.org/10.1037/0278-7393.27.3.614
  • Yildiz, I. B., Mesgarani, N., & Deneve, S. (2016). Predictive ensemble decoding of acoustical features explains context-dependent receptive fields. The Journal of Neuroscience, 36(49), 12338–12350. https://doi.org/10.1523/JNEUROSCI.4648-15.2016