References
- Adobe Photoshop CS. (2004). Berkeley, CA: Peachpit Press.
- Barsalou, L. W. (2008). Grounded cognition. Annual Review of Psychology, 59, 617–645. DOI: 10.1146/annurev.psych.59.103006.093639
- Barton, K. (2020). MuMIn: Multi-model inference (R package version 1.43.17) [Computer software].
https://CRAN.R-project.org/package=MuMIn - Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823. DOI: 10.18637/jss.v067.i01
- Binder, J. R., & Desai, R. H. (2011). The neurobiology of semantic memory. Trends in cognitive sciences, 15(11), 527–536. DOI: 10.1016/j.tics.2011.10.001
- Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009). Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cerebral cortex, 19(12), 2767–2796. DOI: 10.1093/cercor/bhp055
- Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2017). Enriching word vectors with subword information. Transactions of the association for computational linguistics, 5, 135–146. DOI: 10.1162/tacl_a_00051
- Bracci, S., Caramazza, A., & Peelen, M. V. (2015). Representational similarity of body parts in human occipitotemporal cortex. Journal of Neuroscience, 35(38), 12977–12985. DOI: 10.1523/JNEUROSCI.4698-14.2015
- Brown, K. S., Yee, E., Joergensen, G., Troyer, M., Saltzman, E., Rueckl, J., … & McRae, K. (2023). Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations. Cognitive Science, 47(5),
e13291 . DOI: 10.1111/cogs.13291 - Brysbaert, M., & Stevens, M. (2018). Power analysis and effect size in mixed effects models: A tutorial. Journal of cognition, 1(1). DOI: 10.5334/joc.10
- Calvo-Merino, B., Glaser, D. E., Grèzes, J., Passingham, R. E., & Haggard, P. (2005). Action observation and acquired motor skills: an FMRI study with expert dancers. Cerebral cortex, 15(8), 1243–1249. DOI: 10.1093/cercor/bhi007
- De Vignemont, F. (2010). Body schema and body image—Pros and cons. Neuropsychologia, 48(3), 669–680. DOI: 10.1016/j.neuropsychologia.2009.09.022
- Dellert, J., Daneyko, T., Münch, A. et al. (2019). Lang Resources & Evaluation. (version 0.9). DOI: 10.1007/s10579-019-09480-6
- Fox, J. (2003). Effect Displays in R for Generalised Linear Models. Journal of Statistical Software, 8(15), 1–27. URL:
http://www.jstatsoft.org/v08/i15/ . DOI: 10.18637/jss.v008.i15 - Fox, J., & Weisberg, S. (2019). An R Companion to Applied Regression, 3rd Edition. Thousand Oaks, CA <
http://tinyurl.com/carbook > - Gatti, D., Marelli, M., & Rinaldi, L. (2022). Out-of-vocabulary but not meaningless: Evidence for semantic-priming effects in pseudoword processing. Journal of Experimental Psychology: General. DOI: 10.31234/osf.io/y2fm3
- Gatti, D., Marelli, M., Vecchi, T., & Rinaldi, L. (2022). Spatial representations without spatial computations. Psychological Science. DOI: 10.1177/09567976221094863
- Gatti, D., Rinaldi, L., Marelli, M., Mazzoni, G., & Vecchi, T. (2022). Decomposing the semantic processes underpinning veridical and false memories. Journal of Experimental Psychology: General. DOI: 10.1037/xge0001079
- Glenberg, A. M., & Kaschak, M. P. (2002). Grounding language in action. Psychonomic bulletin & review, 9(3), 558–565. DOI: 10.3758/BF03196313
- Grave, E., Bojanowski, P., Gupta, P., Joulin, A., & Mikolov, T. (2018). Learning word vectors for 157 languages. arXiv preprint arXiv:1802.06893.
- Günther, F., & Rinaldi, L. (2022). Language statistics as a window into mental representations. Scientific Reports, 12(1),
8043 . DOI: 10.1038/s41598-022-12027-5 - Günther, F., Rinaldi, L., & Marelli, M. (2019). Vector-space models of semantic representation from a cognitive perspective: A discussion of common misconceptions. Perspectives on Psychological Science, 14(6), 1006–1033. DOI: 10.1177/1745691619861372
- Gurfinkel, V. S., & Levick, Y. S. (1991).
Perceptual and automatic aspects of the postural body scheme . In J. Paillard (Ed.), Brain and space (pp. 147–162). Oxford University Press. DOI: 10.1093/oso/9780198542841.003.0009 - Hollis, G. (2017). Estimating the average need of semantic knowledge from distributional semantic models. Memory & Cognition, 45, 1350–1370. DOI: 10.3758/s13421-017-0732-1
- Jacobowitz, D. (1973). Development of semantic structures. Unpublished dissertation. University of North CarolinaChapel Hill, NC.
- Jones, M. N., Willits, J., & Dennis, S. (2015).
Models of semantic memory . In J. R. Busemeyer, Z. Wang, J. T. Townsend, & A. Eidels (Eds.), The Oxford handbook of computational and mathematical psychology (pp. 232–254). Oxford University Press. DOI: 10.1093/oxfordhb/9780199957996.013.11 - Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2015). Package ‘lmertest’. R package version, 2,
734 . - Louwerse, M. M. (2011). Symbol interdependency in symbolic and embodied cognition. Topics in Cognitive Science, 3, 273–302. DOI: 10.1111/j.1756-8765.2010.01106.x
- Louwerse, M. M. (2018). Knowing the meaning of a word by the linguistic and perceptual company it keeps. Topics in Cognitive Science, 10, 573–589. DOI: 10.1111/tops.12349
- Louwerse, M. M. (2021). Keeping those words in mind: How language creates meaning. New York: Prometheus Books/Rowman & Littlefield.
- Louwerse, M. M., & Benesh, N. (2012). Representing spatial structure through maps and language: Lord of the Rings encodes the spatial structure of Middle Earth. Cognitive science, 36(8), 1556–1569. DOI: 10.1111/cogs.12000
- Louwerse, M. M., & Zwaan, R. A. (2009). Language encodes geographical information. Cognitive Science, 33, 51–73. DOI: 10.1111/j.1551-6709.2008.01003.x
- Mandera, P., Keuleers, E., & Brysbaert, M. (2017). Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting: A review and empirical validation. Journal of Memory and Language, 92, 57–78. DOI: 10.1016/j.jml.2016.04.001
- Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space.
https://arxiv.org/abs/1301.3781 - Morey, R. D., Kaschak, M. P., Díez-Álamo, A. M., Glenberg, A. M., Zwaan, R. A., Lakens, D., … & Ziv-Crispel, N. (2022). A pre-registered, multi-lab non-replication of the action-sentence compatibility effect (ACE). Psychonomic Bulletin & Review, 29(2), 613–626. DOI: 10.3758/s13423-021-01927-8
- Noordzij, M. L., & Postma, A. (2005). Categorical and metric distance information in mental representations derived from route and survey descriptions. Psychological Research, 69(3), 221–232. DOI: 10.1007/s00426-004-0172-y
- Panero, J., & Zelnik, M. (1979). Human dimension & interior space: a source book of design reference standards. Watson-Guptill. DOI: 10.1016/j.jneumeth.2006.11.017
- Peirce, J. W. (2007). PsychoPy – Psychophysics software in Python. Journal of Neuroscience Methods, 162(1–2), 8–13. DOI: 10.3389/neuro.11.010.2008
- Peirce, J. W. (2009). Generating stimuli for neuroscience using PsychoPy. Frontiers in Neuroinformatics, 2 (10), 1–8.
- Peirce, J. W., Gray, J. R., Simpson, S., MacAskill, M. R., Höchenberger, R., Sogo, H., Kastman, E., Lindeløv, J. (2019). PsychoPy2: experiments in behavior made easy. Behavior Research Methods, 51(1), 195–203. DOI: 10.3758/s13428-018-01193-y
- Peirce, J. W., & MacAskill, M. R. (2018). Building Experiments in PsychoPy. London: Sage.
- Peviani, V., Melloni, L., & Bottini, G. (2019). Visual and somatosensory information contribute to distortions of the body model. Scientific Reports, 9(1), 1–9. DOI: 10.1038/s41598-019-49979-0
- RStudio: Integrated Development for R. Boston, MA: RStudio, Inc.
- Smeets, M. A., Klugkist, I. G., van Rooden, S., Anema, H. A., & Postma, A. (2009). Mental body distance comparison: a tool for assessing clinical disturbances in visual body image. Acta Psychologica, 132(2), 157–165. DOI: 10.1016/j.actpsy.2009.03.011
- Struiksma, M. E., Noordzij, M. L., & Postma, A. (2011). Embodied representation of the body contains veridical spatial information. Quarterly Journal of Experimental Psychology, 64(6), 1124–1137. DOI: 10.1080/17470218.2011.552982
- Tillman, R., Datla, V., Hutchinson, S., & Louwerse, M. (2012). From head to toe: Embodiment through statistical linguistic frequencies. Proceedings of the Annual Meeting of the Cognitive Science Society, 34(34).
- Tillman, R., Hutchinson, S., & Louwerse, M. (2013). Geographical estimates are explained by perceptual simulation and language statistics. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 35, No. 35).
- Van Elk, M., & Blanke, O. (2011). The relation between body semantics and spatial body representations. Acta Psychologica, 138(3), 347–358. DOI: 10.1016/j.actpsy.2011.09.001
- Wagenmakers, E. J., & Farrell, S. (2004). AIC model selection using Akaike weights. Psychonomic bulletin & review, 11, 192–196. DOI: 10.3758/BF03206482
- Zwaan, R. A., Stanfield, R. A., & Yaxley, R. H. (2002). Language comprehenders mentally represent the shapes of objects. Psychological Science, 13(2), 168–171. DOI: 10.1111/1467-9280.00430
DOI: https://doi.org/10.5334/joc.347 | Journal eISSN: 2514-4820
Language: English
Submitted on: Nov 6, 2023
Accepted on: Jan 17, 2024
Published on: Feb 1, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
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© 2024 Daniele Gatti, Fritz Günther, Luca Rinaldi, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.