Lexical is as lexical does: computational approaches to lexical representation

Language, Cognition and Neuroscience

Volumn 30, Issue 4, 2015, Pages 395-408

  Woollams, Anna M ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

computational models; lexical representation; orthography; phonology; semantics; word recognition

Indexed keywords

ARTICLE; AUDITORY RESPONSE; BEHAVIOR; BRAIN DAMAGE; COMPUTER MODEL; DECISION MAKING; DYSGRAPHIA; HUMAN; LANGUAGE; LEXICAL REPRESENTATION; NEUROIMAGING; NEUROPSYCHOLOGY; PHONETICS; READING; SEMANTICS; SIGNAL DETECTION; SPEECH; SPELLING; TEMPORAL CORTEX; WORD RECOGNITION;

EID: 84938542173     PISSN: 23273798     EISSN: 23273801     Source Type: Journal    
DOI: 10.1080/23273798.2015.1005637     Document Type: Article

References (120)

1. S.Abel,, M.Grande,, W.Huber,, K.Willmes,, & G.S.Dell, (2005). Using a connectionist model in aphasia therapy for naming disorders. Brain and Language, 95(1 SPEC. ISS.), 102–104.
2. S.Andrews,, & D.R.Scarratt, (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
3. D.Besner,, L.Twilley,, K.Seergobin,, & R.S.McCann, (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
4. W.Best,, & D.Howard, (1994). Word sound deafness resolved? Aphasiology, 8, 223–256. doi:10.1080/02687039408248655
5. J.R.Binder,, D.A.Medler,, C.F.Westbury,, E.Liebenthal,, & L.Buchanan, (2006). Tuning of the human left fusiform gyrus to sublexical orthographic structure. NeuroImage, 33, 739–748. doi:10.1016/j.neuroimage.2006.06.053
6. R.J.Binney,, G.J.M.Parker,, & M.A.Lambon Ralph, (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
7. A.M.Blazely,, M.Coltheart,, & B.J.Casey, (2005). Semantic impairment with and without surface dyslexia: Implications for models of reading. Cognitive Neuropsychology, 22, 695–717. doi:10.1080/02643290442000257
8. T.Bormann,, & C.Weiller, (2012). ‘Are there lexicons?’ A study of lexical and semantic processing in word-meaning deafness suggests ‘yes’. Cortex, 48, 294–307.
9. M.Carreiras,, B.C.Armstrong,, M.Perea,, & R.Frost, (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
10. I.Cattinelli,, N.A.Borghese,, M.Gallucci,, & E.Paulesu, (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
11. Y.-N.Chang,, S.Furber,, & S.Welbourne, (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
12. Y.-N.Chang,, M.A.Lambon Ralph,, S.Furber,, & S.Welbourne, (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.
13. Y.Chen,, M.H.Davis,, F.Pulvermüller,, & O.Hauk, (2013). Task modulation of brain responses in visual word recognition as studied using EEG/MEG and fMRI. Frontiers in Human Neuroscience (JUN), 7, 376.
14. M.Coltheart, (2004). Are there lexicons? Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology, 57, 1153–1171. doi:10.1080/02724980443000007
15. M.Coltheart, (2006). What has functional neuroimaging told us about the mind (so far)? Cortex, 42, 323–331. doi:10.1016/S0010-9452(08)70358-7
16. M.Coltheart, (2013). How can functional neuroimaging inform cognitive theories? Perspectives on Psychological Science, 8(1), 98–103. doi:10.1177/1745691612469208
17. M.Coltheart,, K.Rastle,, C.Perry,, R.Langdon,, & J.Ziegler, (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
18. F.Dandurand,, T.Hannagan,, & J.Grainger, (2013). Computational models of location-invariant orthographic processing. Connection Science, 25(1), 1–26. doi:10.1080/09540091.2013.801934
19. M.H.Davis, (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
20. M.H.Davis,, M.A.Ford,, F.Kherif,, & I.S.Johnsrude, (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
21. M.H.Davis,, & M.G.Gaskell, (2009). A complementary systems account of word learning: Neural and behavioural evidence. Philosophical Transactions of the Royal Society B: Biological Sciences, 364, 3773–3800.
22. G.S.Dell,, M.F.Schwartz,, N.Nozari,, O.Faseyitan,, & H.Branch Coslett, (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
23. K.Dilkina,, J.L.McClelland,, & D.C.Plaut, (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
24. K.Dilkina,, J.L.McClelland,, & D.C.Plaut, (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
25. A.W.Ellis,, D.Miller,, & G.Sin, (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
26. J.L.Elman, (2004). An alternative view of the mental lexicon. Trends in Cognitive Sciences, 8, 301–306. doi:10.1016/j.tics.2004.05.003
27. G.A.L.Evans,, M.A.Lambon Ralph,, & A.M.Woollams, (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
28. P.Fera,, & D.Besner, (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
29. K.I.Forster,, & S.M.Chambers, (1973). Lexical access and naming time. Journal of Verbal Learning and Verbal Behavior, 12, 627–635. doi:10.1016/S0022-5371(73)80042-8
30. G.Gan,, C.Büchel,, & F.Isel, (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
31. W.F.Ganong, (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
32. M.G.Gaskell,, & W.D.Marslen-Wilson, (1997). Integrating form and meaning: A distributed model of speech perception. Language and Cognitive Processes, 12, 613–656. doi:10.1080/016909697386646
33. D.W.Gow, (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
34. J.Grainger,, & A.M.Jacobs, (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
35. J.Grainger,, & A.M.Jacobs, (1998). Localist connectionism fits the bill. Psycoloquy, 9, 7.
36. W.W.Graves,, R.Desai,, C.Humphries,, M.S.Seidenberg,, & J.R.Binder, (2010). Neural systems for reading aloud: A multiparametric approach. Cerebral Cortex, 20, 1799–1815. doi:10.1093/cercor/bhp245
37. C.D.Green, (1998). Are connectionist models theories of cognition? Psycoloquy, 9, 8.
38. M.W.Harm,, B.D.McCandliss,, & M.S.Seidenberg, (2003). Modeling the successes and failures of interventions for disabled readers. Scientific Studies of Reading, 7, 155–182. doi:10.1207/S1532799XSSR0702_3
39. M.W.Harm,, & M.S.Seidenberg, (1999). Phonology, reading acquisition, and dyslexia: Insights from connectionist models. Psychological Review, 106, 491–528. doi:10.1037/0033-295X.106.3.491
40. M.W.Harm,, & M.S.Seidenberg, (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
41. O.Hauk,, C.Coutout,, A.Holden,, & Y.Chen, (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
42. O.Hauk,, M.H.Davis,, M.Ford,, F.Pulvermüller,, & W.D.Marslen-Wilson, (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
43. O.Hauk,, K.Patterson,, A.Woollams,, L.Watling,, F.Pulvermüller,, & T.T.Rogers, (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.
44. G.Hickok,, M.Costanzo,, R.Capasso,, & G.Miceli, (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
45. D.A.Hooper,, & K.R.Paap, (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
46. F.Hutzler,, J.C.Ziegler,, C.Perry,, H.Wimmer,, & M.Zorzi, (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
47. P.Indefrey, (2011). The spatial and temporal signatures of word production components: A critical update. Frontiers in Psychology, 2, 255.
48. C.T.James, (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
49. D.Jared, (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
50. D.Jared, (2002). Spelling-sound consistency and regularity effects in word naming. Journal of Memory and Language, 46, 723–750. doi:10.1006/jmla.2001.2827
51. M.F.Joanisse,, & M.S.Seidenberg, (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
52. S.Joordens,, & S.Becker, (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
53. T.Karaminis,, & M.Thomas, (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.
54. C.T.Kello, (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.
55. C.T.Kello,, & D.C.Plaut, (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
56. S.Laszlo,, & D.C.Plaut, (2012). A neurally plausible parallel distributed processing model of event-related potential word reading data. Brain and Language, 120, 271–281.
57. W.J.M.Levelt,, A.Roelofs,, & A.S.Meyer, (1999). A theory of lexical access in speech production. Behavioral and Brain Sciences, 22(1), 1–75.
58. J.Liederman,, K.Gilbert,, J.M.Fisher,, G.Mathews,, R.E.Frye,, & P.Joshi, (2011). Are women more influenced than men by top-down semantic information when listening to disrupted speech? Language and Speech, 54(1), 33–48.
59. W.W.Lytton,, & J.C.M.Brust, (1989). Direct dyslexia. Preserved oral reading or real words in Wernicke's aphasia. Brain, 112, 583–594.
60. L.Manelis, (1974). The effect of meaningfulness in tachistoscopic word perception. Perception and Psychophysics, 16, 182–192. doi:10.3758/BF03203272
61. Q.R.Mano,, C.Humphries,, R.H.Desai,, M.S.Seidenberg,, D.C.Osmon,, B.C.Stengel,, & J.R.Binder, (2013). The role of left occipitotemporal cortex in reading: Reconciling stimulus, task, and lexicality effects. Cerebral Cortex, 23, 988–1001.
62. S.L.Mattys,, M.H.Davis,, A.R.Bradlow,, & S.K.Scott, (2012). Speech recognition in adverse conditions: A review. Language and Cognitive Processes, 27, 953–978.
63. R.S.McCann,, & D.Besner, (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.
64. J.L.McClelland,, & J.L.Elman, (1986). The TRACE model of speech perception. Cognitive Psychology, 18(1), 1–86. doi:10.1016/0010-0285(86)90015-0
65. J.L.McClelland,, & J.C.Johnston, (1977). The role of familiar units in perception of words and nonwords. Perception and Psychophysics, 22, 249–261. doi:10.3758/BF03199687
66. J.M.McQueen,, A.Cutler,, & D.Norris, (2003). Flow of information in the spoken word recognition system. Speech Communication, 41, 257–270. doi:10.1016/S0167-6393(02)00108-5
67. G.Miceli,, M.C.Silveri,, & A.Caramazza, (1985). Cognitive analysis of a case of pure dysgraphia. Brain and Language, 25, 187–212. doi:10.1016/0093-934X(85)90080-X
68. J.L.Miller,, E.R.Dexter,, & K.A.Pickard, (1984). Influence of speaking rate and lexical status on word identification. Journal of the Acoustical Society of America, 76, 589.
69. D.Mirman,, J.L.McClelland,, & L.L.Holt, (2006). An interactive Hebbian account of lexically guided tuning of speech perception. Psychonomic Bulletin and Review, 13, 958–965. doi:10.3758/BF03213909
70. J.Morton, (1969). Interaction of information in word recognition. Psychological Review, 76, 165–178.
71. A.Nestor,, M.Behrmann,, & D.C.Plaut, (2013). The neural basis of visual word form processing: A multivariate investigation. Cerebral Cortex, 23, 1673–1684. doi:10.1093/cercor/bhs158
72. K.Noble,, G.Glosser,, & M.Grossman, (2000). Oral reading in dementia. Brain and Language, 74(1), 48–69.
73. D.Norris,, J.M.McQueen,, & A.Cutler, (2000). Merging information in speech recognition: Feedback is never necessary. Behavioral and Brain Sciences, 23, 299–325, 363–370. doi:10.1017/S0140525X00003241
74. K.R.Paap,, S.L.Newsome,, J.E.McDonald,, & R.W.Schvaneveldt, (1982). An activation-verification model for letter and word recognition: The word-superiority effect. Psychological Review, 89, 573–594.
75. K.Patterson,, M.A.L.Ralph,, E.Jefferies,, A.Woollams,, R.Jones,, J.R.Hodges,, & T.T.Rogers, (2006). ‘Presemantic’ cognition in semantic dementia: Six deficits in search of an explanation. Journal of Cognitive Neuroscience, 18, 169–183.
76. C.Perry,, J.C.Ziegler,, & M.Zorzi, (2007). Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud. Psychological Review, 114, 273–315.
77. C.Perry,, J.C.Ziegler,, & M.Zorzi, (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
78. D.C.Plaut, (1996). Relearning after damage in connectionist networks: Toward a theory of rehabilitation. Brain and Language, 52(1), 25–82.
79. D.C.Plaut, (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.
80. D.C.Plaut, (2002). Graded modality-specific specialisation in semantics: A computational account of optic aphasia. Cognitive Neuropsychology, 19, 603–639.
81. D.C.Plaut,, & M.Behrmann, (2011). Complementary neural representations for faces and words: A computational exploration. Cognitive Neuropsychology, 28, 251–275.
82. D.C.Plaut,, & C.T.Kello, (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.
83. D.C.Plaut,, J.L.McClelland,, M.S.Seidenberg,, & K.Patterson, (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
84. D.C.Plaut,, & T.Shallice, (1993). Deep dyslexia: A case study of connectionist neuropsychology. Cognitive Neuropsychology, 10, 377–500.
85. D.Powell,, D.Plaut,, & E.Funnell, (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.
86. C.J.Price,, & J.T.Devlin, (2011). The Interactive Account of ventral occipitotemporal contributions to reading. Trends in Cognitive Sciences, 15, 246–253.
87. D.J.Roberts,, M.A.Lambon Ralph,, & A.M.Woollams, (2010). When does less yield more? The impact of severity upon implicit recognition in pure alexia. Neuropsychologia, 48, 2437–2446.
88. D.J.Roberts,, A.M.Woollams,, E.Kim,, P.M.Beeson,, S.Z.Rapcsak,, & M.A.Lambon Ralph, (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.
89. T.T.Rogers,, M.A.Lambon Ralph,, P.Garrard,, S.Bozeat,, J.L.McClelland,, J.R.Hodges,, & K.Patterson, (2004). Structure and deterioration of semantic memory: A neuropsychological and computational investigation. Psychological Review, 111, 205–235.
90. T.T.Rogers,, M.A.Lambon Ralph,, J.R.Hodges,, & K.Patterson, (2004). Natural selection: The impact of semantic impairment on lexical and object decision. Cognitive Neuropsychology, 21, 331–352.
91. D.E.Rumelhart,, & J.L.McClelland, (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.
92. A.G.Samuel, (1996). Does lexical information influence the perceptual restoration of phonemes? Journal of Experimental Psychology: General, 125(1), 28–51.
93. M.S.Seidenberg,, & J.L.McClelland, (1989). A distributed, developmental model of word recognition and naming. Psychological Review, 96, 523–568.
94. M.S.Seidenberg,, & J.L.McClelland, (1990). More words but still no lexicon: Reply to besner et al. (1990). Psychological Review, 97, 447–452.
95. D.L.Share, (1995). Phonological recoding and self-teaching: Sine qua non of reading acquisition. Cognition, 55, 151–218.
96. N.Shibahara,, M.Zorzi,, M.P.Hill,, T.Wydell,, & B.Butterworth, (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
97. D.E.Sibley,, C.T.Kello,, D.C.Plaut,, & J.L.Elman, (2008). Large-scale modeling of wordform learning and representation. Cognitive Science: A Multidisciplinary Journal, 32, 741–754. doi:10.1080/03640210802066964
98. E.Sohoglu,, J.E.Peelle,, R.P.Carlyon,, & M.H.Davis, (2012). Predictive top-down integration of prior knowledge during speech perception. Journal of Neuroscience, 32, 8443–8453.
99. E.Strain,, K.Patterson,, & M.S.Seidenberg, (1995). Semantic effects in single-word naming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 1140–1154.
100. E.Strain,, K.Patterson,, & M.S.Seidenberg, (2002). Theories of word naming interact with spelling-sound consistency. Journal of Experimental Psychology: Learning Memory and Cognition, 28, 207–214.
101. J.S.H.Taylor,, K.Rastle,, & M.H.Davis, (2013). Can cognitive models explain brain activation during word and pseudoword reading? A meta-analysis of 36 neuroimaging studies. Psychological Bulletin, 139, 766–791.
102. P.E.Turkeltaub,, E.M.Goldberg,, W.A.Postman-Caucheteux,, M.Palovcak,, C.Quinn,, C.Cantor,, & H.B.Coslett, (2014). Alexia due to ischemic stroke of the visual word form area. Neurocase, 20, 230–235.
103. T.Twomey,, K.J.Kawabata Duncan,, C.J.Price,, & J.T.Devlin, (2011). Top-down modulation of ventral occipito-temporal responses during visual word recognition. NeuroImage, 55, 1242–1251.
104. L.K.Tyler,, J.K.Voice,, & H.E.Moss, (2000). The interaction of meaning and sound in spoken word recognition. Psychonomic Bulletin and Review, 7, 320–326.
105. T.Ueno,, S.Saito,, T.Rogers,, & M.Lambon Ralph, (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
106. M.Vigneau,, V.Beaucousin,, P.Y.Hervé,, H.Duffau,, F.Crivello,, O.Houdé,, N.Tzourio-Mazoyer, (2006). Meta-analyzing left hemisphere language areas: Phonology, semantics, and sentence processing. NeuroImage, 30, 1414–1432. doi:10.1016/j.neuroimage.2005.11.002
107. F.Vinckier,, S.Dehaene,, A.Jobert,, J.P.Dubus,, M.Sigman,, & L.Cohen, (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
108. M.S.Vitevitch,, & P.A.Luce, (1998). When words compete: Levels of processing in perception of spoken words. Psychological Science, 9, 325–329.
109. M.S.Vitevitch,, & P.A.Luce, (1999). Probabilistic phonotactics and neighborhood activation in spoken word recognition. Journal of Memory and Language, 40, 374–408. doi:10.1006/jmla.1998.2618
110. M.S.Vitevitch,, & P.A.Luce, (2005). Increases in phonotactic probability facilitate spoken nonword repetition. Journal of Memory and Language, 52, 193–204.
111. M.S.Vitevitch,, P.A.Luce,, D.B.Pisoni,, & E.T.Auer, (1999). Phonotactics, neighborhood activation, and lexical access for spoken words. Brain and Language, 68, 306–311. doi:10.1006/brln.1999.2116
112. A.C.Vogel,, S.E.Petersen,, & B.L.Schlaggar, (2013). Matching is not naming: A direct comparison of lexical manipulations in explicit and implicit reading tasks. Human Brain Mapping, 34, 2425–2438.
113. S.R.Welbourne,, & M.A.Lambon Ralph, (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
114. S.R.Welbourne,, & M.A.Lambon Ralph, (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
115. A.M.Woollams, (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
116. A.M.Woollams,, P.Hoffman,, D.J.Roberts,, M.A.Lambon Ralph,, & K.Patterson, (2014). What lies beneath: A comparison of reading aloud in pure alexia and semantic dementia. Cognitive Neuropsychology, 31, 461–481.
117. A.M.Woollams,, M.A.L.Ralph,, D.C.Plaut,, & K.Patterson, (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
118. A.M.Woollams,, G.Silani,, K.Okada,, K.Patterson,, & C.J.Price, (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
119. L.H.Wurm,, D.A.Vakoch,, & S.R.Seaman, (2004). Recognition of spoken words: Semantic effects in lexical access. Language and Speech, 47, 175–204. doi:10.1177/00238309040470020401
120. J.C.Ziegler,, C.Perry,, & M.Zorzi, (2014). Modelling reading development through phonological decoding and self-teaching: Implications for dyslexia. Philosophical Transactions of the Royal Society B: Biological Sciences, 369, 1634.