Why is a flamingo named as pelican and asparagus as celery? Understanding the relationship between targets and errors in a speeded picture naming task

References

• Abdel Rahman, R., & Melinger, A. (2009). Semantic context effects in language production: A swinging lexical network proposal and a review. Language and Cognitive Processes, 24(5), 713–734. https://doi.org/10.1080/01690960802597250
   Web of Science ®Google Scholar
• Abdel Rahman, R., & Melinger, A. (2019). Semantic processing during language production: An update of the swinging lexical network. Language, Cognition and Neuroscience, 34(9), 1176–1192. https://doi.org/10.1080/23273798.2019.1599970
   Web of Science ®Google Scholar
• Baars, B. J., Motley, M. T., & MacKay, D. G. (1975). Output editing for lexical status in artificially elicited slips of the tongue. Journal of Verbal Learning and Verbal Behavior, 14(4), 382–391. https://doi.org/10.1016/S0022-5371(75)80017-X
   Google Scholar
• Bates, D., Kliegl, R., Vasishth, S., & Baayen, H. (2015a). Parsimonious mixed models. arXiv, 1–27. arXiv:1506.04967
   Google Scholar
• Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015b). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01
   Web of Science ®Google Scholar
• Best, W. (1996). When racquets are baskets but baskets are biscuits, where do the words come from ? A single case study of formal paraphasic errors in aphasia. Cognitive Neuropsychology, 13(3), 443–480. https://doi.org/10.1080/026432996381971
   Web of Science ®Google Scholar
• Blanken, G. (1990). Formal paraphasias: A single case study. Brain and Language, 38(4), 534–554. https://doi.org/10.1016/0093-934X(90)90136-5
   PubMed Web of Science ®Google Scholar
• Blanken, G. (1998). Lexicalisation in speech production: Evidence from form related word substitutions in aphasia. Cognitive Neuropsychology, 15(4), 321–360. https://doi.org/10.1080/026432998381122
   PubMed Web of Science ®Google Scholar
• Boersma, P., & Weenink, D. (2019). Praat: Doing phonetics by computer. http://www.praat.org/.
   Google Scholar
• Bormann, T. (2011). The role of lexical-semantic neighborhood in object naming: Implications for models of lexical access. Frontiers in Psychology, 2, 1–11. https://doi.org/10.3389/fpsyg.2011.00127
   PubMed Web of Science ®Google Scholar
• Bormann, T., Kulke, F., & Blanken, G. (2008). The influence of word frequency on semantic word substitutions in aphasic naming. Aphasiology, 22(12), 1313–1320. https://doi.org/10.1080/02687030701679436
   Web of Science ®Google Scholar
• Brown, R., & McNeill, D. (1966). The „tip of the tongue” phenomenon. Journal of Verbal Learning and Verbal Behavior, 5(4), 325–337. https://doi.org/10.1016/S0022-5371(66)80040-3
   Google Scholar
• Butterworth, B. (1989). Lexical access in speech production. In W. D. Marslen-Wilson (Hrsg.), Lexical representation and process (S. 108–135). The MIT Press.
   Google Scholar
• Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82(6), 407–428. https://doi.org/10.1037/0033-295X.82.6.407
   Web of Science ®Google Scholar
• Collins, A. M., & Quillian, M. R. (1969). Retrieval time from semantic memory. Journal of Verbal Learning and Verbal Behavior, 8, 240–247.
   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(1), 204–256. https://doi.org/10.1037/0033-295x.108.1.204
   PubMed Web of Science ®Google Scholar
• Cree, G. S., & Mcrae, K. (2003). Analyzing the factors underlying the structure and computation of the meaning of chipmunk, cherry, chisel, cheese, and cello (and many other such concrete nouns). Journal of Experimental Psychology: General, 132(2), 163–201. https://doi.org/10.1037/0096-3445.132.2.163
   PubMed Web of Science ®Google Scholar
• Dell, G. S. (1986). A spreading-activation theory of retrieval in sentence production. Psychological Review, 93(3), 283–321. https://doi.org/10.1037/0033-295X.93.3.283
   PubMed Web of Science ®Google Scholar
• Dell, G. S. (1990). Effects of frequency and vocabulary type on phonological speech errors. Language and Cognitive Processes, 5(4), 313–349. https://doi.org/10.1080/01690969008407066
   Web of Science ®Google Scholar
• Dell, G. S., Schwartz, M. F., Martin, N., Saffran, E. M., & Gagnon, D. A. (1997). Lexical access in aphasic and nonaphasic speakers. Psychological Review, 104(4), 801–838. https://doi.org/10.1037/0033-295X.104.4.801
   PubMed Web of Science ®Google Scholar
• Dell’Acqua, R., Lotto, L., & Job, R. (2000). Naming times and standardized norms for the Italian PD/DPSS set of 266 pictures: Direct comparisons with American, English, French, and Spanish published databases. Behavior Research Methods, Instruments, & Computers, 32(4), 588–615. https://doi.org/10.3758/BF03200832
   PubMedGoogle Scholar
• del Viso, S., Igoa, J. M., & García-Albea, J. E. (1991). On the autonomy of phonological encoding: Evidence from slips of the tongue in Spanish. Journal of Psycholinguistic Research, 20(3), 161–185. https://doi.org/10.1007/BF01067213
   Web of Science ®Google Scholar
• Fay, D., & Cutler, A. (1977). Malapropisms and the structure of the mental lexicon. Linguistic Inquiry, 8(3), 505–520.
   Web of Science ®Google Scholar
• Fieder, N., Wartenburger, I., & Abdel Rahman, R. (2019). A close call: Interference from semantic neighbourhood density and similarity in language production. Memory & Cognition, 47(1), 145–168. https://doi.org/10.3758/s13421-018-0856-y
   PubMed Web of Science ®Google Scholar
• Fischer-Baum, S., Miozzo, M., Laiacona, M., & Capitani, E. (2016). Perseveration during verbal fluency in traumatic brain injury reflects impairments in working memory. Neuropsychology, 30(7), 791–799. https://doi.org/10.1037/neu0000286
   PubMed Web of Science ®Google Scholar
• Gagnon, D. A., Schwartz, M. F., Martin, N., Dell, G. S., & Saffran, E. M. (1997). The origins of formal paraphasias in aphasics’ picture naming. Brain and Language, 59(3), 450–472. https://doi.org/10.1006/brln.1997.1792
   PubMed Web of Science ®Google Scholar
• Gerhand, S., & Barry, C. (2000). When does a deep dyslexic make a semantic error? The roles of age-of-acquisition, concreteness, and frequency. Brain and Language, 74(1), 26–47. https://doi.org/10.1006/brln.2000.2320
   PubMed Web of Science ®Google Scholar
• Goldrick, M., Folk, J. R., & Rapp, B. (2010). Mrs. Malaprop’s neighborhood: Using word errors to reveal neighborhood structure. Journal of Memory and Language, 62(2), 113–134. https://doi.org/10.1016/j.jml.2009.11.008
   PubMed Web of Science ®Google Scholar
• Gordon, J. K. (2002). Phonological neighborhood effects in aphasic speech errors: Spontaneous and structured contexts. Brain and Language, 82(2), 113–145. https://doi.org/10.1016/S0093-934X(02)00001-9
   PubMed Web of Science ®Google Scholar
• Grossman, M., Robinson, K., Biassou, N., White-Devine, T., & D’Esposito, M. (1998). Semantic memory in Alzheimer’s disease: Representativeness, ontologic category, and material. Neuropsychology, 12(1), 34–42. https://doi.org/10.1037/0894-4105.12.1.34
   PubMed Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis. Pearson.
   Google Scholar
• Hameau, S., Biedermann, B., Fieder, N., & Nickels, L. (2019). Investigation of the effects of semantic neighbours in aphasia: A facilitated naming study. Aphasiology, 34(7), 840–864. https://doi.org/10.1080/02687038.2019.1652241
   Web of Science ®Google Scholar
• Hameau, S., Nickels, L., & Biedermann, B. (2019). Effects of semantic neighbourhood density on spoken word production. Quarterly Journal of Experimental Psychology, 72(12), 2752–2775. https://doi.org/10.1177/1747021819859850
   Web of Science ®Google Scholar
• Harley, T. A., & MacAndrew, S. B. G. (2001). Constraints upon word substitution speech errors. Journal of Psycholinguistic Research, 30(4), 395–418. https://doi.org/10.1023/A:1010421724343
   PubMed Web of Science ®Google Scholar
• Holmes, S. J., & Ellis, A. W. (2006). Age of acquisition and typicality effects in three object processing tasks. Visual Cognition, 13(7–8), 884–910. https://doi.org/10.1080/13506280544000093
   Web of Science ®Google Scholar
• Howard, D., Nickels, L., Coltheart, M., & Cole-Virtue, J. (2006). Cumulative semantic inhibition in picture naming: Experimental and computational studies. Cognition, 100(3), 464–482. https://doi.org/10.1016/j.cognition.2005.02.006
   PubMed Web of Science ®Google Scholar
• Humphreys, G. W., Lamote, C., & Lloyd-Jones, T. J. (1995). An interactive activation approach to object processing: Effects of structural similarity, name frequency, and task in normality and pathology. Memory, 3(3–4), 535–586. https://doi.org/10.1080/09658219508253164
   PubMed Web of Science ®Google Scholar
• Jescheniak, J. D., & Levelt, W. J. M. (1994). Word frequency effects in speech production: Retrieval of syntactic information and of phonological form. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(4), 824–843. https://doi.org/10.1037/0278-7393.20.4.824
   Web of Science ®Google Scholar
• Jolicoeur, P., Gluck, M. A., & Kosslyn, S. M. (1984). Pictures and names: Making the connection. Cognitive Psychology, 16(2), 243–275. https://doi.org/10.1016/0010-0285(84)90009-4
   PubMed Web of Science ®Google Scholar
• Kello, C. T. (2004). Control over the time course of cognition in the tempo-naming task. Journal of Experimental Psychology: Human Perception and Performance, 30(5), 942–955. https://doi.org/10.1037/0096-1523.30.5.942
   PubMed Web of Science ®Google Scholar
• Kittredge, A. K., Dell, G. S., Verkuilen, J., & Schwartz, M. F. (2008). Where is the effect of frequency in word production? Insights from aphasic picture-naming errors. Cognitive Neuropsychology, 25(4), 463–492. https://doi.org/10.1080/02643290701674851
   PubMed Web of Science ®Google Scholar
• Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). Lmertest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1–26. https://doi.org/10.18637/jss.v082.i13
   Web of Science ®Google Scholar
• Lampe, L. F., Fieder, N., Krajenbrink, T., & Nickels, L. (2017). Semantische Nachbarschaft in der Wortproduktion bei Aphasie [Semantic neighbourhood in word production in aphasia]. In A. Adelt, Ö. Yetim, C. Otto, & T. Fritzsche (Hrsg.), Spektrum Patholinguistik – Panorama Patholinguistik: Sprachwissenschaft trifft Sprachtherapie (Bd. 10, S. 103–114). Universitätsverlag Potsdam. https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/39701.
   Google Scholar
• Lampe, L. F., Hameau, S., Fieder, N., & Nickels, L. (2021). Effects of semantic variables on word production in aphasia. Cortex, 141, 363–402. https://doi.org/10.1016/j.cortex.2021.02.020
   PubMed Web of Science ®Google Scholar
• Lampe, L. F., Hameau, S., & Nickels, L. (2021). Semantic variables both help and hinder word production: Behavioral evidence from picture naming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 48(1), 72–97. https://doi.org/10.1037/xlm0001050
   PubMed Web of Science ®Google Scholar
• Lampe, L. F., Hameau, S., & Nickels, L. (2023). Are they really stronger? Comparing effects of semantic variables in speeded deadline and standard picture naming. Quarterly Journal of Experimental Psychology, 76(4), 762–782.
   Web of Science ®Google Scholar
• Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104(2), 211–240. https://doi.org/10.1037/0033-295X.104.2.211
   Web of Science ®Google Scholar
• Levelt, W. J. M. (1989). Speaking: From intention to articulation. MIT Press.
   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. https://doi.org/10.1017/S0140525X99001776
   PubMed Web of Science ®Google Scholar
• Lloyd-Jones, T. J., & Nettlemill, M. (2007). Sources of error in picture naming under time pressure. Memory & Cognition, 35(4), 816–836. https://doi.org/10.3758/BF03193317
   PubMed Web of Science ®Google Scholar
• Mahon, B. Z., Costa, A., Peterson, R., Vargas, K. A., & Caramazza, A. (2007). Lexical selection is not by competition: A reinterpretation of semantic interference and facilitation effects in the picture-word interference paradigm. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33(3), 503–535. https://doi.org/10.1037/0278-7393.33.3.503
   PubMed Web of Science ®Google Scholar
• Martin, N., Dell, G. S., Saffran, E. M., & Schwartz, M. F. (1994). Origins of paraphasias in deep dysphasia: Testing the consequences of a decay impairment to an interactive spreading activation model of lexical retrieval. Brain and Language, 47(4), 609–660. https://doi.org/10.1006/brln.1994.1061
   PubMed Web of Science ®Google Scholar
• Matuschek, H., Kliegl, R., Vasishth, S., Baayen, H., & Bates, D. (2017). Balancing type I error and power in linear mixed models. Journal of Memory and Language, 94, 305–315. https://doi.org/10.1016/J.JML.2017.01.001
   Web of Science ®Google Scholar
• McRae, K., Cree, G. S., Seidenberg, M. S., & McNorgan, C. (2005). Semantic feature production norms for a large set of living and nonliving things. Behavior Research Methods, 37(4), 547–559. https://doi.org/10.3758/BF03192726
   PubMed Web of Science ®Google Scholar
• McRae, K., Cree, G. S., Westmacott, R., & De Sa, V. R. (1999). Further evidence for feature correlations in semantic memory. Canadian Journal of Experimental Psychology, 53(4), 360–373. https://doi.org/10.1037/h0087323
   PubMed Web of Science ®Google Scholar
• McRae, K., de Sa, V. R., & Seidenberg, M. S. (1997). On the nature and scope of featural representations of word meaning. Journal of Experimental Psychology: General, 126(2), 99–130. https://doi.org/10.1037/0096-3445.126.2.99
   PubMed Web of Science ®Google Scholar
• Mirman, D. (2011). Effects of near and distant semantic neighbors on word production. Cognitive, Affective and Behavioral Neuroscience, 11(1), 32–43. https://doi.org/10.3758/s13415-010-0009-7
   PubMed Web of Science ®Google Scholar
• Mirman, D., & Graziano, K. M. (2013). The neural basis of inhibitory effects of semantic and phonological neighbors in spoken word production. Journal of Cognitive Neuroscience, 25(9), 1504–1516. https://doi.org/10.1162/jocn_a_00408
   PubMed Web of Science ®Google Scholar
• Morrison, C. M., Ellis, A. W., & Quinlan, P. T. (1992). Age of acquisition, not word frequency, affects object naming, not object recognition. Memory & Cognition, 20(6), 705–714. https://doi.org/10.3758/BF03202720
   PubMed Web of Science ®Google Scholar
• Moses, M. S., Nickels, L., & Sheard, C. (2004). „I’m sitting here feeling aphasic!” A study of recurrent perseverative errors elicited in unimpaired speakers. Brain and Language, 89(1), 157–173. https://doi.org/10.1016/S0093-934X(03)00364-X
   PubMed Web of Science ®Google Scholar
• Moses, M. S., Nickels, L. A., & Sheard, C. (2007). Chips, cheeks and carols: A review of recurrent perseveration in speech production. Aphasiology, 21(10–11), 960–974. https://doi.org/10.1080/02687030701198254
   Web of Science ®Google Scholar
• Navarrete, E., Del Prato, P., Peressotti, F., & Mahon, B. Z. (2014). Lexical selection is not by competition: Evidence from the blocked naming paradigm. Journal of Memory and Language, 76, 253–272. https://doi.org/10.1016/j.jml.2014.05.003
   PubMed Web of Science ®Google Scholar
• Nickels, L. (1995). Getting it right? Using aphasic naming errors to evaluate theoretical models of spoken word production. Language and Cognitive Processes, 10(1), 13–45. https://doi.org/10.1080/01690969508407086
   Web of Science ®Google Scholar
• Nickels, L., & Howard, D. (1995). Aphasic naming: What matters? Neuropsychologia, 33(10), 1281–1303. https://doi.org/10.1016/0028-3932(95)00102-9
   PubMed Web of Science ®Google Scholar
• Nickels, L., Lampe, L. F., Mason, C., & Hameau, S. (2022). Investigating the influence of semantic factors on word retrieval: Reservations, results and recommendations. Cognitive Neuropsychology, 39(3–4), 113–154. https://doi.org/10.1080/02643294.2022.2109958
   PubMed Web of Science ®Google Scholar
• Oppenheim, G. M., Dell, G. S., & Schwartz, M. F. (2010). The dark side of incremental learning: A model of cumulative semantic interference during lexical access in speech production. Cognition, 114(2), 227–252. https://doi.org/10.1016/j.cognition.2009.09.007
   PubMed Web of Science ®Google Scholar
• Patterson, K., & Erzinçlioǧlu, S. W. (2008). Drawing as a ‘window’ on deteriorating conceptual knowledge in neurodegenerative disease. In C. Lange-Küttner & A. Vinter (Hrsg.), Drawing and the Non-Verbal Mind (1. Aufl., S. 281–304). Cambridge University Press. https://doi.org/10.1017/CBO9780511489730.014.
   Google Scholar
• Pennington, J., Socher, R., & Manning, C. (2014). GloVe: Global vectors for word representation. Conference on Empirical Methods in Natural Language Processing (EMNLP), 1532–1543. https://doi.org/10.3115/v1/D14-1162.
   Google Scholar
• Perret, C., & Bonin, P. (2019). Which variables should be controlled for to investigate picture naming in adults? A Bayesian meta-analysis. Behavior Research Methods, 51(6), 2533–2545. https://doi.org/10.3758/s13428-018-1100-1
   PubMed Web of Science ®Google Scholar
• Pexman, P. M., Hargreaves, I. S., Edwards, J. D., Henry, L. C., & Goodyear, B. G. (2007). The neural consequences of semantic richness: When more comes to mind, less activation is observed. Psychological Science, 18(5), 401–406. https://doi.org/10.1111/j.1467-9280.2007.01913.x
   PubMed Web of Science ®Google Scholar
• Plaut, D. C., & Shallice, T. (1993). Deep dyslexia: A case study of connectionist neuropsychology. Cognitive Neuropsychology, 10(5), 377–500. https://doi.org/10.1080/02643299308253469
   Web of Science ®Google Scholar
• Rabovsky, M., & McRae, K. (2014). Simulating the N400 ERP component as semantic network error: Insights from a feature-based connectionist attractor model of word meaning. Cognition, 132(1), 68–89. https://doi.org/10.1016/j.cognition.2014.03.010
   PubMed Web of Science ®Google Scholar
• Rabovsky, M., Schad, D. J., & Abdel Rahman, R. (2016). Language production is facilitated by semantic richness but inhibited by semantic density: Evidence from picture naming. Cognition, 146, 240–244. https://doi.org/10.1016/j.cognition.2015.09.016
   PubMed Web of Science ®Google Scholar
• Rabovsky, M., Schad, D. J., & Abdel Rahman, R. (2021). Semantic richness and density effects on language production: Electrophysiological and behavioral evidence. Journal of Experimental Psychology: Learning Memory and Cognition, 47(3), 508–517. https://doi.org/10.1037/xlm0000940
   PubMed Web of Science ®Google Scholar
• Roelofs, A. (1997). The WEAVER model of word-form encoding in speech production. Cognition, 64(3), 249–284. https://doi.org/10.1016/S0010-0277(97)00027-9
   PubMed Web of Science ®Google Scholar
• Rogers, T. T., Patterson, K., Jefferies, E., & Lambon Ralph, M. A. (2015). Disorders of representation and control in semantic cognition: Effects of familiarity, typicality, and specificity. Neuropsychologia, 76, 220–239. https://doi.org/10.1016/j.neuropsychologia.2015.04.015
   PubMed Web of Science ®Google Scholar
• Rogerson, P. (2011). Statistical methods for geography. SAGE Publications, Ltd. https://doi.org/10.4135/9781849209953.
   Google Scholar
• Rosch, E. H., & Mervis, C. B. (1975). Family resemblances: Studies in the internal structure of categories. Cognitive Psychology, 7(4), 573–605. https://doi.org/10.1016/0010-0285(75)90024-9
   Web of Science ®Google Scholar
• Rose, S. B., & Abdel Rahman, R. (2016). Cumulative semantic interference for associative relations in language production. Cognition, 152, 20–31. https://doi.org/10.1016/j.cognition.2016.03.013
   PubMed Web of Science ®Google Scholar
• Rose, S. B., Aristei, S., Melinger, A., & Abdel Rahman, R. (2019). The closer they are, the more they interfere: Semantic similarity of word distractors increases competition in language production. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(4), 753–763. https://doi.org/10.1037/xlm0000592
   PubMed Web of Science ®Google Scholar
• Rossiter, C., & Best, W. (2013). “Penguins don’t fly”: An investigation into the effect of typicality on picture naming in people with aphasia. Aphasiology, 27(7), 784–798. https://doi.org/10.1080/02687038.2012.751579
   PubMed Web of Science ®Google Scholar
• RStudio Team. (2022). RStudio: Integrated development for R. RStudio, PBC. https://www.rstudio.com/.
   Google Scholar
• Taylor, K. I., Devereux, B. J., Acres, K., Randall, B., & Tyler, L. K. (2012). Contrasting effects of feature-based statistics on the categorisation and basic-level identification of visual objects. Cognition, 122(3), 363–374. https://doi.org/10.1016/j.cognition.2011.11.001
   PubMed Web of Science ®Google Scholar
• van Heuven, W. J. B., Mandera, P., Keuleers, E., & Brysbaert, M. (2014). SUBTLEX-UK: A new and improved word frequency database for British English. Quarterly Journal of Experimental Psychology, 67(6), 1176–1190. https://doi.org/10.1080/17470218.2013.850521
   PubMed Web of Science ®Google Scholar
• Vitevitch, M. S. (1997). The Neighborhood Characteristics of Malapropisms. https://journals-sagepub-com.simsrad.net.ocs.mq.edu.au/doi/abs/10.1177002383099704000301.
   Google Scholar
• Vitevitch, M. S. (2002). The influence of phonological similarity neighborhoods on speech production. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(4), 735–747. https://doi.org/10.1037/0278-7393.28.4.735
   PubMed Web of Science ®Google Scholar
• Vitkovitch, M., & Humphreys, G. W. (1991). Perseverant responding in speeded naming of pictures: It’s in the links. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17(4), 664–680. https://doi.org/10.1037/0278-7393.17.4.664
   Web of Science ®Google Scholar
• Vitkovitch, M., Humphreys, G. W., & Lloyd-Jones, T. J. (1993). On naming a giraffe a zebra: Picture naming errors across different object categories. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19(2), 243–259. https://doi.org/10.1037/0278-7393.19.2.243
   Web of Science ®Google Scholar
• Woollams, A. M. (2012). Apples are not the only fruit: The effects of concept typicality on semantic representation in the anterior temporal lobe. Frontiers in Human Neuroscience, 6, 1–9. https://doi.org/10.3389/fnhum.2012.00085
   PubMed Web of Science ®Google Scholar
• Woollams, A. M., Cooper-Pye, E., Hodges, J. R., & Patterson, K. (2008). Anomia: A doubly typical signature of semantic dementia. Neuropsychologia, 46(10), 2503–2514. https://doi.org/10.1016/j.neuropsychologia.2008.04.005
   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(2), 316–339. https://doi.org/10.1037/0033-295X.114.2.316
   PubMed Web of Science ®Google Scholar