Lexical is as lexical does: computational approaches to lexical representation

References

• Abel, S., Grande, M., Huber, W., Willmes, K., & Dell, G. S. (2005). Using a connectionist model in aphasia therapy for naming disorders. Brain and Language, 95(1 SPEC. ISS.), 102–104.
   Web of Science ®Google Scholar
• Andrews, S., & Scarratt, D. R. (1998). Rule and analogy mechanisms in reading non words: Hough Dou Peapel Rede Gnew Wirds? Journal of Experimental Psychology: Human Perception and Performance, 24, 1052–1086. doi:10.1037/0096-1523.24.4.1052
   Web of Science ®Google Scholar
• Besner, D., Twilley, L., Seergobin, K., & McCann, R. S. (1990). On the association between connectionism and data: Are a few words necessary? Psychological Review, 97, 432–446. doi:10.1037/0033-295X.97.3.432
   Web of Science ®Google Scholar
• Best, W., & Howard, D. (1994). Word sound deafness resolved? Aphasiology, 8, 223–256. doi:10.1080/02687039408248655
   Web of Science ®Google Scholar
• Binder, J. R., Medler, D. A., Westbury, C. F., Liebenthal, E., & Buchanan, L. (2006). Tuning of the human left fusiform gyrus to sublexical orthographic structure. NeuroImage, 33, 739–748. doi:10.1016/j.neuroimage.2006.06.053
   PubMed Web of Science ®Google Scholar
• Binney, R. J., Parker, G. J. M., & Lambon Ralph, M. A. (2012). Convergent connectivity and graded specialization in the rostral human temporal Lobe as revealed by diffusion-weighted imaging probabilistic tractography. Journal of Cognitive Neuroscience, 24, 1998–2014. doi:10.1073/pnas.0607061104
   PubMed Web of Science ®Google Scholar
• Blazely, A. M., Coltheart, M., & Casey, B. J. (2005). Semantic impairment with and without surface dyslexia: Implications for models of reading. Cognitive Neuropsychology, 22, 695–717. doi:10.1080/02643290442000257
   PubMed Web of Science ®Google Scholar
• Bormann, T., & Weiller, C. (2012). ‘Are there lexicons?’ A study of lexical and semantic processing in word-meaning deafness suggests ‘yes’. Cortex, 48, 294–307.
   PubMed Web of Science ®Google Scholar
• Carreiras, M., Armstrong, B. C., Perea, M., & Frost, R. (2014). The what, when, where, and how of visual word recognition. Trends in Cognitive Sciences, 18(2), 90–98. doi:10.1016/j.tics.2013.11.005
   PubMed Web of Science ®Google Scholar
• Cattinelli, I., Borghese, N. A., Gallucci, M., & Paulesu, E. (2013). Reading the reading brain: A new meta-analysis of functional imaging data on reading. Journal of Neurolinguistics, 26, 214–238. doi:10.1016/j.jneuroling.2012.08.001
   Web of Science ®Google Scholar
• Chang, Y.-N., Furber, S., & Welbourne, S. (2012). Modelling normal and impaired letter recognition: Implications for understanding pure alexic reading. Neuropsychologia, 50, 2773–2788. doi:10.1016/j.neuropsychologia.2012.07.031
   PubMed Web of Science ®Google Scholar
• Chang, Y.-N., Lambon Ralph, M. A., Furber, S., & Welbourne, S. (2013). Modelling graded semantic effects in lexical decision. Proceedings of the 35th Annual Meeting of the Cognitive Science Society, July 31-August 3, Berlin, Germany, 310–315.
   Google Scholar
• Chen, Y., Davis, M. H., Pulvermüller, F., & Hauk, O. (2013). Task modulation of brain responses in visual word recognition as studied using EEG/MEG and fMRI. Frontiers in Human Neuroscience (JUN), 7, 376.
   PubMedGoogle Scholar
• Coltheart, M. (2004). Are there lexicons? Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology, 57, 1153–1171. doi:10.1080/02724980443000007
   PubMed Web of Science ®Google Scholar
• Coltheart, M. (2006). What has functional neuroimaging told us about the mind (so far)? Cortex, 42, 323–331. doi:10.1016/S0010-9452(08)70358-7
   PubMed Web of Science ®Google Scholar
• Coltheart, M. (2013). How can functional neuroimaging inform cognitive theories? Perspectives on Psychological Science, 8(1), 98–103. doi:10.1177/1745691612469208
   Web of Science ®Google Scholar
• Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108, 204–256. doi:10.1037/0033-295X.108.1.204
   PubMed Web of Science ®Google Scholar
• Dandurand, F., Hannagan, T., & Grainger, J. (2013). Computational models of location-invariant orthographic processing. Connection Science, 25(1), 1–26. doi:10.1080/09540091.2013.801934
   Web of Science ®Google Scholar
• Davis, M. H. (2004). Units of representation in visual word recognition. Proceedings of the National Academy of Sciences of the United States of America, 101, 14687–14688. doi:10.1073/pnas.0405788101
   PubMed Web of Science ®Google 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, 3914–3932. doi:10.1016/j.neuroimage.2006.04.199
   PubMed Web of Science ®Google Scholar
• Davis, M. H., & Gaskell, M. G. (2009). A complementary systems account of word learning: Neural and behavioural evidence. Philosophical Transactions of the Royal Society B: Biological Sciences, 364, 3773–3800.
   PubMed Web of Science ®Google Scholar
• Dell, G. S., Schwartz, M. F., Nozari, N., Faseyitan, O., & Branch Coslett, H. (2013). Voxel-based lesion-parameter mapping: Identifying the neural correlates of a computational model of word production. Cognition, 128, 380–396. doi:10.1016/j.cognition.2013.05.007
   PubMed Web of Science ®Google Scholar
• Dilkina, K., McClelland, J. L., & Plaut, D. C. (2008). A single-system account of semantic and lexical deficits in five semantic dementia patients. Cognitive Neuropsychology, 25(2), 136–164. doi:10.1080/02643290701723948
   PubMed Web of Science ®Google Scholar
• Dilkina, K., McClelland, J. L., & Plaut, D. C. (2010). Are there mental lexicons? The role of semantics in lexical decision. Brain Research, 1365, 66–81. doi:10.1016/j.brainres.2010.09.057
   PubMed Web of Science ®Google Scholar
• Ellis, A. W., Miller, D., & Sin, G. (1983). Wernicke's aphasia and normal language processing: A case study in cognitive neuropsychology. Cognition, 15(1–3), 111–144. doi:10.1016/0010-0277(83)90036-7
   PubMed Web of Science ®Google Scholar
• Elman, J. L. (2004). An alternative view of the mental lexicon. Trends in Cognitive Sciences, 8, 301–306. doi:10.1016/j.tics.2004.05.003
   PubMed Web of Science ®Google Scholar
• Evans, G. A. L., Lambon Ralph, M. A., & Woollams, A. M. (2012). What's in a word? A parametric study of semantic influences on visual word recognition. Psychonomic Bulletin and Review, 19, 325–331. doi:10.3758/s13423-011-0213-7
   PubMed Web of Science ®Google Scholar
• Fera, P., & Besner, D. (1992). The process of lexical decision: More words about a parallel distributed processing model. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 749–764. doi:10.1037/0278-7393.18.4.749
   Web of Science ®Google Scholar
• Forster, K. I., & Chambers, S. M. (1973). Lexical access and naming time. Journal of Verbal Learning and Verbal Behavior, 12, 627–635. doi:10.1016/S0022-5371(73)80042-8
   Google Scholar
• Gan, G., Büchel, C., & Isel, F. (2013). Effect of language task demands on the neural response during lexical access: A functional magnetic resonance imaging study. Brain and Behavior, 3, 402–416. doi:10.1002/brb3.133
   Web of Science ®Google Scholar
• Ganong, W. F. (1980). Phonetic categorization in auditory word perception. Journal of Experimental Psychology: Human Perception and Performance, 6(1), 110–125. doi:10.1037/0096-1523.6.1.110
   PubMed Web of Science ®Google Scholar
• Gaskell, M. G., & Marslen-Wilson, W. D. (1997). Integrating form and meaning: A distributed model of speech perception. Language and Cognitive Processes, 12, 613–656. doi:10.1080/016909697386646
   Web of Science ®Google Scholar
• Gow, D. W. (2012). The cortical organization of lexical knowledge: A dual lexicon model of spoken language processing. Brain and Language, 121, 273–288. doi:10.1016/j.bandl.2012.03.005
   PubMed Web of Science ®Google Scholar
• Grainger, J., & Jacobs, A. M. (1996). Orthographic processing in visual word recognition: A multiple read-out model. Psychological Review, 103, 518–565. doi:10.1037/0033-295X.103.3.518
   PubMed Web of Science ®Google Scholar
• Grainger, J., & Jacobs, A. M. (1998). Localist connectionism fits the bill. Psycoloquy, 9, 7.
   Google Scholar
• Graves, W. W., Desai, R., Humphries, C., Seidenberg, M. S., & Binder, J. R. (2010). Neural systems for reading aloud: A multiparametric approach. Cerebral Cortex, 20, 1799–1815. doi:10.1093/cercor/bhp245
   PubMed Web of Science ®Google Scholar
• Green, C. D. (1998). Are connectionist models theories of cognition? Psycoloquy, 9, 8.
   Google Scholar
• Harm, M. W., McCandliss, B. D., & Seidenberg, M. S. (2003). Modeling the successes and failures of interventions for disabled readers. Scientific Studies of Reading, 7, 155–182. doi:10.1207/S1532799XSSR0702_3
   Web of Science ®Google Scholar
• Harm, M. W., & Seidenberg, M. S. (1999). Phonology, reading acquisition, and dyslexia: Insights from connectionist models. Psychological Review, 106, 491–528. doi:10.1037/0033-295X.106.3.491
   PubMed Web of Science ®Google Scholar
• Harm, M. W., & Seidenberg, M. S. (2004). Computing the meanings of words in reading: Cooperative division of labor between visual and phonological processes. Psychological Review, 111, 662–720. doi:10.1037/0033-295X.111.3.662
   PubMed Web of Science ®Google Scholar
• Hauk, O., Coutout, C., Holden, A., & Chen, Y. (2012). The time-course of single-word reading: Evidence from fast behavioral and brain responses. NeuroImage, 60, 1462–1477. doi:10.1016/j.neuroimage.2012.01.061
   PubMed Web of Science ®Google Scholar
• Hauk, O., Davis, M. H., Ford, M., Pulvermüller, F., & Marslen-Wilson, W. D. (2006). The time course of visual word recognition as revealed by linear regression analysis of ERP data. NeuroImage, 30, 1383–1400. doi:10.1016/j.neuroimage.2005.11.048
   PubMed Web of Science ®Google Scholar
• Hauk, O., Patterson, K., Woollams, A., Watling, L., Pulvermüller, F., & Rogers, T. T. (2006). [Q:] When would you prefer a sossage to a sausage? [A:] At about 100 msec. ERP correlates of orthographic typicality and lexicality in written word recognition. Journal of Cognitive Neuroscience, 18, 818–832.
   PubMed Web of Science ®Google Scholar
• Hickok, G., Costanzo, M., Capasso, R., & Miceli, G. (2011). The role of Broca's area in speech perception: Evidence from aphasia revisited. Brain and Language, 119, 214–220. doi:10.1016/j.bandl.2011.08.001
   PubMed Web of Science ®Google Scholar
• Hooper, D. A., & Paap, K. R. (1997). The use of assembled phonology during performance of a letter recognition task and its dependence on the presence and proportion of word stimuli. Journal of Memory and Language, 37, 167–189. doi:10.1006/jmla.1997.2520
   Web of Science ®Google Scholar
• Hutzler, F., Ziegler, J. C., Perry, C., Wimmer, H., & Zorzi, M. (2004). Do current connectionist learning models account for reading development in different languages? Cognition, 91, 273–296. doi:10.1016/j.cognition.2003.09.006
   PubMed Web of Science ®Google Scholar
• Indefrey, P. (2011). The spatial and temporal signatures of word production components: A critical update. Frontiers in Psychology, 2, 255.
   PubMed Web of Science ®Google Scholar
• James, C. T. (1975). The role of semantic information in lexical decisions. Journal of Experimental Psychology: Human Perception and Performance, 1(2), 130–136. doi:10.1037/0096-1523.1.2.130
   Web of Science ®Google Scholar
• Jared, D. (1997). Spelling-sound consistency affect the naming of high-frequency words. Journal of Memory and Language, 36, 505–529. doi:10.1006/jmla.1997.2496
   Web of Science ®Google Scholar
• Jared, D. (2002). Spelling-sound consistency and regularity effects in word naming. Journal of Memory and Language, 46, 723–750. doi:10.1006/jmla.2001.2827
   Web of Science ®Google Scholar
• Joanisse, M. F., & Seidenberg, M. S. (2003). Phonology and syntax in specific language impairment: Evidence from a connectionist model. Brain and Language, 86(1), 40–56. doi:10.1016/S0093-934X(02)00533-3
   PubMed Web of Science ®Google Scholar
• Joordens, S., & Becker, S. (1997). The long and short of semantic priming effects in lexical decision. Journal of Experimental Psychology: Learning Memory and Cognition, 23, 1083–1105. doi:10.1037/0278-7393.23.5.1083
   PubMed Web of Science ®Google Scholar
• Karaminis, T., & Thomas, M. (2010). A cross-linguistic model of the acquisition of inflectional morphology in English and Modern Greek. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of 32nd Annual Conference of the Cognitive Science Society (pp. 730–735), August 11–14, 2010, Portland.
   Google Scholar
• Kello, C. T. (2006). Considering the junction model of lexical processing. In S. A. Andrews (Ed.), From inkmarks to ideas: Current issues in lexical processing (pp. 50–75). Hove: Psychology Press.
   Google Scholar
• Kello, C. T., & Plaut, D. C. (2004). A neural network model of the articulatory-acoustic forward mapping trained on recordings of articulatory parameters. Journal of the Acoustical Society of America, 116, 2354–2364. doi:10.1121/1.1715112
   PubMed Web of Science ®Google Scholar
• Laszlo, S., & Plaut, D. C. (2012). A neurally plausible parallel distributed processing model of event-related potential word reading data. Brain and Language, 120, 271–281.
   PubMed Web of Science ®Google Scholar
• Levelt, W. J. M., Roelofs, A., & Meyer, A. S. (1999). A theory of lexical access in speech production. Behavioral and Brain Sciences, 22(1), 1–75.
   PubMed Web of Science ®Google Scholar
• Liederman, J., Gilbert, K., Fisher, J. M., Mathews, G., Frye, R. E., & Joshi, P. (2011). Are women more influenced than men by top-down semantic information when listening to disrupted speech? Language and Speech, 54(1), 33–48.
   PubMed Web of Science ®Google Scholar
• Lytton, W. W., & Brust, J. C. M. (1989). Direct dyslexia. Preserved oral reading or real words in Wernicke's aphasia. Brain, 112, 583–594.
   PubMed Web of Science ®Google Scholar
• Manelis, L. (1974). The effect of meaningfulness in tachistoscopic word perception. Perception and Psychophysics, 16, 182–192. doi:10.3758/BF03203272
   Web of Science ®Google Scholar
• Mano, Q. R., Humphries, C., Desai, R. H., Seidenberg, M. S., Osmon, D. C., Stengel, B. C., & Binder, J. R. (2013). The role of left occipitotemporal cortex in reading: Reconciling stimulus, task, and lexicality effects. Cerebral Cortex, 23, 988–1001.
   PubMed Web of Science ®Google Scholar
• Mattys, S. L., Davis, M. H., Bradlow, A. R., & Scott, S. K. (2012). Speech recognition in adverse conditions: A review. Language and Cognitive Processes, 27, 953–978.
   Web of Science ®Google Scholar
• McCann, R. S., & Besner, D. (1987). Reading Pseudohomophones: Implications for models of pronunciation assembly and the locus of word-frequency effects in naming. Journal of Experimental Psychology: Human Perception and Performance, 13(1), 14–24.
   Web of Science ®Google Scholar
• McClelland, J. L., & Elman, J. L. (1986). The TRACE model of speech perception. Cognitive Psychology, 18(1), 1–86. doi:10.1016/0010-0285(86)90015-0
   PubMed Web of Science ®Google Scholar
• McClelland, J. L., & Johnston, J. C. (1977). The role of familiar units in perception of words and nonwords. Perception and Psychophysics, 22, 249–261. doi:10.3758/BF03199687
   Web of Science ®Google Scholar
• McQueen, J. M., Cutler, A., & Norris, D. (2003). Flow of information in the spoken word recognition system. Speech Communication, 41, 257–270. doi:10.1016/S0167-6393(02)00108-5
   Web of Science ®Google Scholar
• Miceli, G., Silveri, M. C., & Caramazza, A. (1985). Cognitive analysis of a case of pure dysgraphia. Brain and Language, 25, 187–212. doi:10.1016/0093-934X(85)90080-X
   PubMed Web of Science ®Google Scholar
• Miller, J. L., Dexter, E. R., & Pickard, K. A. (1984). Influence of speaking rate and lexical status on word identification. Journal of the Acoustical Society of America, 76, 589.
   Google Scholar
• Mirman, D., McClelland, J. L., & Holt, L. L. (2006). An interactive Hebbian account of lexically guided tuning of speech perception. Psychonomic Bulletin and Review, 13, 958–965. doi:10.3758/BF03213909
   PubMed Web of Science ®Google Scholar
• Morton, J. (1969). Interaction of information in word recognition. Psychological Review, 76, 165–178.
   Web of Science ®Google Scholar
• Nestor, A., Behrmann, M., & Plaut, D. C. (2013). The neural basis of visual word form processing: A multivariate investigation. Cerebral Cortex, 23, 1673–1684. doi:10.1093/cercor/bhs158
   PubMed Web of Science ®Google Scholar
• Noble, K., Glosser, G., & Grossman, M. (2000). Oral reading in dementia. Brain and Language, 74(1), 48–69.
   PubMed Web of Science ®Google Scholar
• Norris, D., McQueen, J. M., & Cutler, A. (2000). Merging information in speech recognition: Feedback is never necessary. Behavioral and Brain Sciences, 23, 299–325, 363–370. doi:10.1017/S0140525X00003241
   PubMed Web of Science ®Google Scholar
• Paap, K. R., Newsome, S. L., McDonald, J. E., & Schvaneveldt, R. W. (1982). An activation-verification model for letter and word recognition: The word-superiority effect. Psychological Review, 89, 573–594.
   PubMed Web of Science ®Google Scholar
• Patterson, K., Ralph, M. A. L., Jefferies, E., Woollams, A., Jones, R., Hodges, J. R., & Rogers, T. T. (2006). ‘Presemantic’ cognition in semantic dementia: Six deficits in search of an explanation. Journal of Cognitive Neuroscience, 18, 169–183.
   PubMed Web of Science ®Google Scholar
• Perry, C., Ziegler, J. C., & Zorzi, M. (2007). Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud. Psychological Review, 114, 273–315.
   PubMed Web of Science ®Google Scholar
• Perry, C., Ziegler, J. C., & Zorzi, M. (2010). Beyond single syllables: Large-scale modeling of reading aloud with the Connectionist Dual Process (CDP++) model. Cognitive Psychology, 61(2), 106–151. doi:10.1016/j.cogpsych.2010.04.001
   PubMed Web of Science ®Google Scholar
• Plaut, D. C. (1996). Relearning after damage in connectionist networks: Toward a theory of rehabilitation. Brain and Language, 52(1), 25–82.
   PubMed Web of Science ®Google Scholar
• Plaut, D. C. (1997). Structure and function in the lexical system: Insights from distributed models of word reading and lexical decision. Language and Cognitive Processes, 12, 765–805.
   Web of Science ®Google Scholar
• Plaut, D. C. (2002). Graded modality-specific specialisation in semantics: A computational account of optic aphasia. Cognitive Neuropsychology, 19, 603–639.
   PubMed Web of Science ®Google Scholar
• Plaut, D. C., & Behrmann, M. (2011). Complementary neural representations for faces and words: A computational exploration. Cognitive Neuropsychology, 28, 251–275.
   PubMed Web of Science ®Google Scholar
• Plaut, D. C., & Kello, C. T. (1999). The emergence of phonology from the interplay of speech comprehension and production: A distributed connectionist approach. In B. MacWhinney (Ed.), The emergence of language (pp. 381–415). Mahwah, NJ: Erlbaum.
   Google Scholar
• Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. (1996). Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103, 56–115. doi:10.1037/0033-295X.103.1.56
   PubMed Web of Science ®Google Scholar
• Plaut, D. C., & Shallice, T. (1993). Deep dyslexia: A case study of connectionist neuropsychology. Cognitive Neuropsychology, 10, 377–500.
   Web of Science ®Google Scholar
• Powell, D., Plaut, D., & Funnell, E. (2006). Does the PMSP connectionist model of single word reading learn to read in the same way as a child? Journal of Research in Reading, 29, 229–250.
   Web of Science ®Google Scholar
• Price, C. J., & Devlin, J. T. (2011). The Interactive Account of ventral occipitotemporal contributions to reading. Trends in Cognitive Sciences, 15, 246–253.
   PubMed Web of Science ®Google Scholar
• Roberts, D. J., Lambon Ralph, M. A., & Woollams, A. M. (2010). When does less yield more? The impact of severity upon implicit recognition in pure alexia. Neuropsychologia, 48, 2437–2446.
   PubMed Web of Science ®Google Scholar
• Roberts, D. J., Woollams, A. M., Kim, E., Beeson, P. M., Rapcsak, S. Z., & Lambon Ralph, M. A. (2013). Efficient visual object and word recognition relies on high spatial frequency coding in the left posterior fusiform gyrus: Evidence from a case-series of patients with ventral occipito-temporal cortex damage. Cerebral Cortex, 23, 2568–2580.
   Google Scholar
• Rogers, T. T., Lambon Ralph, M. A., Garrard, P., Bozeat, S., McClelland, J. L., Hodges, J. R., & Patterson, K. (2004). Structure and deterioration of semantic memory: A neuropsychological and computational investigation. Psychological Review, 111, 205–235.
   PubMed Web of Science ®Google Scholar
• Rogers, T. T., Lambon Ralph, M. A., Hodges, J. R., & Patterson, K. (2004). Natural selection: The impact of semantic impairment on lexical and object decision. Cognitive Neuropsychology, 21, 331–352.
   PubMed Web of Science ®Google Scholar
• Rumelhart, D. E., & McClelland, J. L. (1982). An interactive activation model of context effects in letter perception: II. The contextual enhancement effect and some tests and extensions of the model. Psychological Review, 89(1), 60–94.
   PubMed Web of Science ®Google Scholar
• Samuel, A. G. (1996). Does lexical information influence the perceptual restoration of phonemes? Journal of Experimental Psychology: General, 125(1), 28–51.
   Web of Science ®Google Scholar
• Seidenberg, M. S., & McClelland, J. L. (1989). A distributed, developmental model of word recognition and naming. Psychological Review, 96, 523–568.
   PubMed Web of Science ®Google Scholar
• Seidenberg, M. S., & McClelland, J. L. (1990). More words but still no lexicon: Reply to besner et al. (1990). Psychological Review, 97, 447–452.
   Web of Science ®Google Scholar
• Share, D. L. (1995). Phonological recoding and self-teaching: Sine qua non of reading acquisition. Cognition, 55, 151–218.
   PubMed Web of Science ®Google Scholar
• Shibahara, N., Zorzi, M., Hill, M. P., Wydell, T., & Butterworth, B. (2003). Semantic effects in word naming: Evidence from English and Japanese Kanji. Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology, 56A, 263–286. doi:10.1080/02724980244000369
   Google Scholar
• Sibley, D. E., Kello, C. T., Plaut, D. C., & Elman, J. L. (2008). Large-scale modeling of wordform learning and representation. Cognitive Science: A Multidisciplinary Journal, 32, 741–754. doi:10.1080/03640210802066964
   PubMed Web of Science ®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, 8443–8453.
   PubMed Web of Science ®Google Scholar
• Strain, E., Patterson, K., & Seidenberg, M. S. (1995). Semantic effects in single-word naming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 1140–1154.
   PubMed Web of Science ®Google Scholar
• Strain, E., Patterson, K., & Seidenberg, M. S. (2002). Theories of word naming interact with spelling-sound consistency. Journal of Experimental Psychology: Learning Memory and Cognition, 28, 207–214.
   PubMed Web of Science ®Google Scholar
• Taylor, J. S. H., Rastle, K., & Davis, M. H. (2013). Can cognitive models explain brain activation during word and pseudoword reading? A meta-analysis of 36 neuroimaging studies. Psychological Bulletin, 139, 766–791.
   PubMed Web of Science ®Google Scholar
• Turkeltaub, P. E., Goldberg, E. M., Postman-Caucheteux, W. A., Palovcak, M., Quinn, C., Cantor, C., & Coslett, H. B. (2014). Alexia due to ischemic stroke of the visual word form area. Neurocase, 20, 230–235.
   PubMed Web of Science ®Google Scholar
• Twomey, T., Kawabata Duncan, K. J., Price, C. J., & Devlin, J. T. (2011). Top-down modulation of ventral occipito-temporal responses during visual word recognition. NeuroImage, 55, 1242–1251.
   PubMed Web of Science ®Google Scholar
• Tyler, L. K., Voice, J. K., & Moss, H. E. (2000). The interaction of meaning and sound in spoken word recognition. Psychonomic Bulletin and Review, 7, 320–326.
   PubMed Web of Science ®Google Scholar
• Ueno, T., Saito, S., Rogers, T., & Lambon Ralph, M. (2011). Lichtheim 2: Synthesizing aphasia and the neural basis of language in a neurocomputational model of the dual dorsal-ventral language pathways. Neuron, 72, 385–396. doi:10.1016/j.neuron.2011.09.013
   PubMed Web of Science ®Google Scholar
• Vigneau, M., Beaucousin, V., Hervé, P. Y., Duffau, H., Crivello, F., Houdé, O., … Tzourio-Mazoyer, N. (2006). Meta-analyzing left hemisphere language areas: Phonology, semantics, and sentence processing. NeuroImage, 30, 1414–1432. doi:10.1016/j.neuroimage.2005.11.002
   PubMed Web of Science ®Google Scholar
• Vinckier, F., Dehaene, S., Jobert, A., Dubus, J. P., Sigman, M., & Cohen, L. (2007). Hierarchical coding of letter strings in the ventral stream: Dissecting the inner organization of the visual word-form system. Neuron, 55(1), 143–156. doi:10.1016/j.neuron.2007.05.031
   PubMed Web of Science ®Google Scholar
• Vitevitch, M. S., & Luce, P. A. (1998). When words compete: Levels of processing in perception of spoken words. Psychological Science, 9, 325–329.
   Web of Science ®Google Scholar
• Vitevitch, M. S., & Luce, P. A. (1999). Probabilistic phonotactics and neighborhood activation in spoken word recognition. Journal of Memory and Language, 40, 374–408. doi:10.1006/jmla.1998.2618
   Web of Science ®Google Scholar
• Vitevitch, M. S., & Luce, P. A. (2005). Increases in phonotactic probability facilitate spoken nonword repetition. Journal of Memory and Language, 52, 193–204.
   Web of Science ®Google Scholar
• Vitevitch, M. S., Luce, P. A., Pisoni, D. B., & Auer, E. T. (1999). Phonotactics, neighborhood activation, and lexical access for spoken words. Brain and Language, 68, 306–311. doi:10.1006/brln.1999.2116
   PubMed Web of Science ®Google Scholar
• Vogel, A. C., Petersen, S. E., & Schlaggar, B. L. (2013). Matching is not naming: A direct comparison of lexical manipulations in explicit and implicit reading tasks. Human Brain Mapping, 34, 2425–2438.
   PubMed Web of Science ®Google Scholar
• Welbourne, S. R., & Lambon Ralph, M. A. (2005). Using computational, parallel distributed processing networks to model rehabilitation in patients with acquired dyslexia: An initial investigation. Aphasiology, 19, 789–806. doi:10.1080/026870305002688110
   Web of Science ®Google Scholar
• Welbourne, S. R., & Lambon Ralph, M. A. (2007). Using parallel distributed processing models to simulate phonological dyslexia: The key role of plasticity-related recovery. Journal of Cognitive Neuroscience, 19, 1125–1139. doi:10.1080/02687030500268811
   PubMed Web of Science ®Google Scholar
• Woollams, A. M. (2005). Imageability and ambiguity effects in speeded naming: Convergence and divergence. Journal of Experimental Psychology: Learning Memory and Cognition, 31, 878–890. doi:10.1037/0278-7393.31.5.878
   PubMed Web of Science ®Google Scholar
• Woollams, A. M., Hoffman, P., Roberts, D. J., Lambon Ralph, M. A., & Patterson, K. (2014). What lies beneath: A comparison of reading aloud in pure alexia and semantic dementia. Cognitive Neuropsychology, 31, 461–481.
   PubMed Web of Science ®Google Scholar
• Woollams, A. M., Ralph, M. A. L., Plaut, D. C., & Patterson, K. (2007). SD-squared: On the association between semantic dementia and surface dyslexia. Psychological Review, 114, 316–339. doi:10.1037/0033-295X.114.2.316
   PubMed Web of Science ®Google Scholar
• Woollams, A. M., Silani, G., Okada, K., Patterson, K., & Price, C. J. (2011). Word or word-like? Dissociating orthographic typicality from lexicality in the left occipito-temporal cortex. Journal of Cognitive Neuroscience, 23, 992–1002. doi:10.1016/j.neuroimage.2006.07.029
   PubMed Web of Science ®Google Scholar
• Wurm, L. H., Vakoch, D. A., & Seaman, S. R. (2004). Recognition of spoken words: Semantic effects in lexical access. Language and Speech, 47, 175–204. doi:10.1177/00238309040470020401
   PubMed Web of Science ®Google Scholar
• Ziegler, J. C., Perry, C., & Zorzi, M. (2014). Modelling reading development through phonological decoding and self-teaching: Implications for dyslexia. Philosophical Transactions of the Royal Society B: Biological Sciences, 369, 1634.
   Google Scholar