Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanos
- Autores:
- Tipo de recurso:
- article
- Fecha de publicación:
- 2020
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- Corporación Universitaria Iberoamericana
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https://doi.org/10.33881/2027-1786.rip.13301
- Palabra clave:
- Visual cortex
Early vision
Cognitive penetrability
Mind modules
Expectations
Facial recognition
Córtex visual
Visión temprana
Penetrabilidad cognitiva
Módulos mentales
Expectativas
Reconomiento facial
Córtex visual
Visão precoce
Penetrabilidade cognitiva
Módulos mentais
Expectativas
Reconhecimento facial
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dc.title.none.fl_str_mv |
Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanos Cognitive penetrability in early visual perception: Empirical evidence in humans |
title |
Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanos |
spellingShingle |
Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanos Arévalo Pachón, Guillermo Visual cortex Early vision Cognitive penetrability Mind modules Expectations Facial recognition Córtex visual Visión temprana Penetrabilidad cognitiva Módulos mentales Expectativas Reconomiento facial Córtex visual Visão precoce Penetrabilidade cognitiva Módulos mentais Expectativas Reconhecimento facial |
title_short |
Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanos |
title_full |
Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanos |
title_fullStr |
Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanos |
title_full_unstemmed |
Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanos |
title_sort |
Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanos |
dc.creator.none.fl_str_mv |
Arévalo Pachón, Guillermo |
author |
Arévalo Pachón, Guillermo |
author_facet |
Arévalo Pachón, Guillermo |
author_role |
author |
dc.subject.none.fl_str_mv |
Visual cortex Early vision Cognitive penetrability Mind modules Expectations Facial recognition Córtex visual Visión temprana Penetrabilidad cognitiva Módulos mentales Expectativas Reconomiento facial Córtex visual Visão precoce Penetrabilidade cognitiva Módulos mentais Expectativas Reconhecimento facial |
topic |
Visual cortex Early vision Cognitive penetrability Mind modules Expectations Facial recognition Córtex visual Visión temprana Penetrabilidad cognitiva Módulos mentales Expectativas Reconomiento facial Córtex visual Visão precoce Penetrabilidade cognitiva Módulos mentais Expectativas Reconhecimento facial |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-31 00:00:00 2020-12-31 00:00:00 2020-12-31 2022-06-14T21:02:17Z 2022-06-14T21:02:17Z |
dc.type.none.fl_str_mv |
Artículo de revista http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/version/c_970fb48d4fbd8a85 Text info:eu-repo/semantics/article Artículo de revista Journal article http://purl.org/redcol/resource_type/ARTREF info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
10.33881/2027-1786.rip.13301 2500-6517 2027-1786 https://repositorio.ibero.edu.co/handle/001/3909 https://doi.org/10.33881/2027-1786.rip.13301 |
identifier_str_mv |
10.33881/2027-1786.rip.13301 2500-6517 2027-1786 |
url |
https://repositorio.ibero.edu.co/handle/001/3909 https://doi.org/10.33881/2027-1786.rip.13301 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://reviberopsicologia.ibero.edu.co/article/download/rip.13301/1659 Núm. 3 , Año 2020 : Revista Iberoamericana de Psicología 11 3 1 13 Revista Iberoamericana de Psicología Bannert, M. M., & Bartels, A. (2013). Decoding the yellow of a gray banana. Current Biology, 23(22), 2268-2272. doi: https://www.sciencedirect.com/science/article/pii/S0960982213011329 Bar, M., Kassam, K. S., Ghuman, A. S., Boshyan, J., Schmid, A. M., Dale, A. M., Hämäläinen, M. S., Marinkovic, K., Schacter, D. L., Rosen, B. R., & Halgren, E. (2006). Top-down facilitation of visual recognition. Procedings of the National Academy of Sciences USA, 103, 449-454. doi: https://pubmed.ncbi.nlm.nih.gov/16407167/ Bitter, D. (2014). Is low-level visual experience cognitively penetrable? En The Baltic international yearbook of cognition, logic and communication (Vol. 9) (pp. 1-26). doi: https://www.researchgate.net/publication/273289064_Is_Low-Level_Visual_Experience_Cognitively_Penetrable Boyer, P. & Barret, C. (2015). Intuitive ontologies and domain specifity. En D. M. Buss, The handbook of evolutionary psychology (pp. 161-180). Hoboken, New Jersey: John Wiley & sons, Inc. https://onlinelibrary.wiley.com/doi/abs/10.1002/9780470939376.ch3 Burke, D. (2014). Why isn't everyone an evolutionary psychologist? Frontiers in Psychology, 5: 910. https://doi. https://www.frontiersin.org/articles/10.3389/fpsyg.2014.00910/full Chiappe, D. & Gardner, R. (2011). The modularity debate in evolutionary psychology. Theory and Psychology, 22(5), 669-682. https://journals.sagepub.com/doi/10.1177/0959354311398703 Colombo, M. (2013). Moving forward (and beyond) the modularity debate: A network perspective. Philosophy of Science, 80(3), 356-377. http://www.jstor.org/stable/10.1086/670331 Davis, T., & Poldrack, R. A. (2013). Mesuaring neural representations with fMRI: Practices and pitfalls. Annals of th New York Academy of Sciences, 1296, 108-134. doi: https://pubmed.ncbi.nlm.nih.gov/23738883/ Firestone, C., & Scholl, B. J. (2015). Cognition does not affect perception: Evaluating the evidence for ‘top-down’ effects. Behavioral and Brain Sciences, 20, 1-77. doi: https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/abs/cognition-does-not-affect-perception-evaluating-the-evidence-for-topdown-effects/920E2AE74C642DD3CB3FA8160EA1D84A Fodor, J. (2001). The mind doesn´t work that way. The scope and limits of computational psychology. Cambridge, MA: MIT Press. https://mitpress.mit.edu/books/mind-doesnt-work-way Gamond, L., George, N., Lemaréchal, J-D., Hugueville, L., Adam, C., & Tallon-Baudry, C. (2011). Early influence of prior experience on face perception. NeuroImage, 54, 1415–1426. doi: Gilbert, C. D., & Li, W. (2013). Top-down influences on visual processing. Nature Reviews. Neuroscience, 14(5), 350–363. https://pubmed.ncbi.nlm.nih.gov/23595013/ Hansen, T., Olkkonen, M., Walter, S. & Gegenfurtner, K. R. (2006). Memory modulates color appearance. Nature Neuroscience, 9(11), 1367 – 1368. doi: https://pubmed.ncbi.nlm.nih.gov/17041591/ Hsieh, P. J., Vul, E., & Kanwisher, N. (2010). Recognition alters the spatial pattern of fMRI activation in early retinotopic cortex. Journal of Neurophysiology, 103, 1501–1507. doi: https://pubmed.ncbi.nlm.nih.gov/20071627/ Kok, P., Jehee, J. F. M., & de Lange F. P. (2012). Less is more: Expectation sharpens representations in the primary visual cortex. Neuron, 75(2), 265-270. doi: https://pubmed.ncbi.nlm.nih.gov/22841311/ Kok, P., Brouwer, G. J., van Gerven, M. A. J. & de Lange, F. P. (2013). Prior expectations bias sensory representations in visual cortex. The Journal of Neuroscience, 33(41),16275–16284. doi: https://pubmed.ncbi.nlm.nih.gov/22841311/ Lachaux, J. Ph., Rudrauf, D., & Kahane, P. (2003). Intracranial EEG and human brain mapping. Journal of Physiology, 97, 613-628. doi: https://pubmed.ncbi.nlm.nih.gov/15242670/ Lee, T.S., & Mumford, D. (2003). Hierarchical bayesian inference in the visualcortex. The Journal of Optical Society of America A. Optics and Image Science and Vision, 20, 1434–1448. doi: https://www.osapublishing.org/josaa/abstract.cfm?uri=josaa-20-7-1434 Levin, D. T., & Banaji, M. R. (2006). Distortions in the perceived lightness of faces: The role of race categories. Journal of Experimental Psychology: General, 35(4), 501–512. doi: https://sites.fas.harvard.edu/~mrbworks/articles/2006_JEPG.pdf Macpherson, F. (2012). Cognitive penetration of color experience: Rethinking the issue in light of an indirect mechanism. Philosophy and Phenomenological Research, 84(1), 24-62. doi: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1933-1592.2010.00481.x Macpherson, F. (2017). The relationship between cognitive penetration and predictive coding. Consciousness and Cognition, 47, 6–16. doi: https://www.sciencedirect.com/science/article/pii/S1053810016300496 Marchi, M., & Newen, A. (2015). Cognitive penetrability and emotion recognition. Frontiers in Psychology, 6, 828. doi: https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00828/full Muckli, L., & Petro, L. S. (2013). Network interactions: non‐geniculate input to V1. Current Opinion in Neurobiology, 23(2), 195–201. doi: https://www.sciencedirect.com/science/article/pii/S0959438813000366 Newen, A., & Vetter, P. (2017). Why the cognitive penetration of our perceptual experience is still the most plausible account. Consciousness and Cognition, 47, 26-37. https://pubmed.ncbi.nlm.nih.gov/27667320/ Nienborg, H., & Roelfsema, P. R. (2015). Belief states as a framework to explain extra-retinal influences in visual cortex. Current Opinion in Neurobiology, 32, 45–52. doi: https://www.sciencedirect.com/science/article/pii/S095943881400213X Nusslock, R., Young, C. B., Pornpattananangkul, N., & Damme, K. S. F. (2015). Neurophysiological and neuroimaging techniques. En R. Cautinand, & S. O., Lilienfeld, The encyclopedia of clinical psychology (pp. 1-9). Hoboken, NJ: John Wiley & Sons. https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118625392.wbecp557 O’Callaghan, C., Kveraga, K., Shine, J. M., Adams Jr., R. B., & Bar, M. (2017). Predictions penetrate perception: Converging insights from brain, behaviour and disorder. Consciousness and Cognition, 47, 63–74. doi: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764074/ Ogilvie, R., & Carruthers, P. (2016). Opening up vision: The case against encapsulation. Review of Philosophy and Psychology, 7, 721–742. doi: https://psycnet.apa.org/record/2015-54268-001 Petro, L. S., Smith, F. W., Schyns, P. G. & Muckli, L. (2013). Decoding face categories in diagnostic subregions of primary visual cortex. European Journal of Neuroscience, 37, 1130–1139. doi: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816327/ Pinker, S. (2005). So How Does the Mind Work? Mind & Language, 20(1), 1–24. https://stevenpinker.com/files/pinker/files/so_how_does_the_mind_work.pdf https://stevenpinker.com/files/pinker/files/so_how_does_the_mind_work.pdf Pinto, Y., van Gaal, S., de Lange, F. P., Lamme, V. A. F., & Seth, A. K. (2015). Expectations accelerate entry of visual stimuli into awareness. Journal of Vision, 15(8), 13, 1-15. doi: https://jov.arvojournals.org/article.aspx?articleid=2337707 Pylyshyn, Z. (1999). Is vision continuous with cognition? The case for cognitive impenetrability of visual perception. The behavioral and brain sciences, 22(3), 341-423. doi: https://pubmed.ncbi.nlm.nih.gov/11301517/ Raftopoulos, A. (2014). The cognitive impenetrability of the content of early vision is a necessary and sufficient condition for purely nonconceptual content. Philosophical Psychology, 27(5), 601–620. doi: https://www.tandfonline.com/doi/abs/10.1080/09515089.2012.729486 Raftopoulos, A. (2019). Pre-cueing, early vision, and cognitive penetrability. En C. Limbeck-Lilienau & F. Stadler, The Philosophy of perception (pp. 217-234). The Gruyter. https://www.degruyter.com/document/doi/10.1515/9783110657920-013/html Roelfsema, P. R., & deLange, F. P. (2016). Early visual cortex as a multiscale cognitive blackboard. Annual Review of Vision Science 2(1), 131-151. doi: https://www.annualreviews.org/doi/abs/10.1146/annurev-vision-111815-114443 Samaha, J., Boutonnet, B., & Lupyan, G. (2016). How prior knowledge prepares perception: Prestimulus oscillations carry perceptual expectations and influence early visual responses. bioRvix, 076687. doi: https://www.biorxiv.org/content/10.1101/076687v1.full Shaughnessy, J. J., Zeichmeister, E. B., & Zeichmeister, J. S. (2007). Métodos de Investigación en Psicología. México: McGraw-Hill. Shettleworth, S. (2012). Modularity, comparative cognition and human uniqueness. Philosophical Transactions of the Royal Society of London. Series B. Biological Science, 367, 2794–2802 doi: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3427548/ Stokes, D. (2013). Cognitive penetrability of perception. Philosophy Compass, 8(7), 646–663. doi: https://onlinelibrary.wiley.com/doi/abs/10.1111/phc3.12043 Stokes, D. R., & Bergeron, V. (2015). Modular architectures and informational encapsulation: A dilemma. European Journal for Philosophy of Science, 5(3), 315-338. doi: https://www.researchgate.net/publication/272377410_Modular_architectures_and_informational_encapsulation_a_dilemma Seriès, P., & Seitz, A. R. (2010). Learning what to expect (in visual perception). Frontiers in Human Neuroscience, 7:668. https://www.frontiersin.org/articles/10.3389/fnhum.2013.00668/full Vetter P., & Newen, A. (2014).Varieties of cognitive penetration in visual perception. Consciousness and Cognition, 27, 62–75. doi: https://pubmed.ncbi.nlm.nih.gov/24836978/ |
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Penetrabilidad cognitiva en la percepción visual temprana: Evidencia empírica en humanosCognitive penetrability in early visual perception: Empirical evidence in humansArévalo Pachón, GuillermoVisual cortexEarly visionCognitive penetrabilityMind modulesExpectationsFacial recognitionCórtex visualVisión tempranaPenetrabilidad cognitivaMódulos mentalesExpectativasReconomiento facialCórtex visualVisão precocePenetrabilidade cognitivaMódulos mentaisExpectativasReconhecimento facialĬbērAM2020-12-31 00:00:002022-06-14T21:02:17Z2020-12-31 00:00:002022-06-14T21:02:17Z2020-12-31Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleArtículo de revistaJournal articlehttp://purl.org/redcol/resource_type/ARTREFinfo:eu-repo/semantics/publishedVersionapplication/pdf10.33881/2027-1786.rip.133012500-65172027-1786https://repositorio.ibero.edu.co/handle/001/3909https://doi.org/10.33881/2027-1786.rip.13301https://reviberopsicologia.ibero.edu.co/article/view/rip.13301reponame:Repositorio Iberoinstname:Corporación Universitaria Iberoamericanainstacron:Corporación Universitaria Iberoamericanaspahttps://reviberopsicologia.ibero.edu.co/article/download/rip.13301/1659Núm. 3 , Año 2020 : Revista Iberoamericana de Psicología113113Revista Iberoamericana de PsicologíaBannert, M. M., & Bartels, A. (2013). Decoding the yellow of a gray banana. Current Biology, 23(22), 2268-2272. doi: https://www.sciencedirect.com/science/article/pii/S0960982213011329Bar, M., Kassam, K. S., Ghuman, A. S., Boshyan, J., Schmid, A. M., Dale, A. M., Hämäläinen, M. S., Marinkovic, K., Schacter, D. L., Rosen, B. R., & Halgren, E. (2006). Top-down facilitation of visual recognition. Procedings of the National Academy of Sciences USA, 103, 449-454. doi: https://pubmed.ncbi.nlm.nih.gov/16407167/Bitter, D. (2014). Is low-level visual experience cognitively penetrable? En The Baltic international yearbook of cognition, logic and communication (Vol. 9) (pp. 1-26). doi: https://www.researchgate.net/publication/273289064_Is_Low-Level_Visual_Experience_Cognitively_PenetrableBoyer, P. & Barret, C. (2015). Intuitive ontologies and domain specifity. En D. M. Buss, The handbook of evolutionary psychology (pp. 161-180). Hoboken, New Jersey: John Wiley & sons, Inc. https://onlinelibrary.wiley.com/doi/abs/10.1002/9780470939376.ch3Burke, D. (2014). Why isn't everyone an evolutionary psychologist? Frontiers in Psychology, 5: 910. https://doi. https://www.frontiersin.org/articles/10.3389/fpsyg.2014.00910/fullChiappe, D. & Gardner, R. (2011). The modularity debate in evolutionary psychology. Theory and Psychology, 22(5), 669-682. https://journals.sagepub.com/doi/10.1177/0959354311398703Colombo, M. (2013). Moving forward (and beyond) the modularity debate: A network perspective. Philosophy of Science, 80(3), 356-377. http://www.jstor.org/stable/10.1086/670331Davis, T., & Poldrack, R. A. (2013). Mesuaring neural representations with fMRI: Practices and pitfalls. Annals of th New York Academy of Sciences, 1296, 108-134. doi: https://pubmed.ncbi.nlm.nih.gov/23738883/Firestone, C., & Scholl, B. J. (2015). Cognition does not affect perception: Evaluating the evidence for ‘top-down’ effects. Behavioral and Brain Sciences, 20, 1-77. doi: https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/abs/cognition-does-not-affect-perception-evaluating-the-evidence-for-topdown-effects/920E2AE74C642DD3CB3FA8160EA1D84AFodor, J. (2001). The mind doesn´t work that way. The scope and limits of computational psychology. Cambridge, MA: MIT Press. https://mitpress.mit.edu/books/mind-doesnt-work-wayGamond, L., George, N., Lemaréchal, J-D., Hugueville, L., Adam, C., & Tallon-Baudry, C. (2011). Early influence of prior experience on face perception. NeuroImage, 54, 1415–1426. doi:Gilbert, C. D., & Li, W. (2013). Top-down influences on visual processing. Nature Reviews. Neuroscience, 14(5), 350–363. https://pubmed.ncbi.nlm.nih.gov/23595013/Hansen, T., Olkkonen, M., Walter, S. & Gegenfurtner, K. R. (2006). Memory modulates color appearance. Nature Neuroscience, 9(11), 1367 – 1368. doi: https://pubmed.ncbi.nlm.nih.gov/17041591/Hsieh, P. J., Vul, E., & Kanwisher, N. (2010). Recognition alters the spatial pattern of fMRI activation in early retinotopic cortex. Journal of Neurophysiology, 103, 1501–1507. doi: https://pubmed.ncbi.nlm.nih.gov/20071627/Kok, P., Jehee, J. F. M., & de Lange F. P. (2012). Less is more: Expectation sharpens representations in the primary visual cortex. Neuron, 75(2), 265-270. doi: https://pubmed.ncbi.nlm.nih.gov/22841311/Kok, P., Brouwer, G. J., van Gerven, M. A. J. & de Lange, F. P. (2013). Prior expectations bias sensory representations in visual cortex. The Journal of Neuroscience, 33(41),16275–16284. doi: https://pubmed.ncbi.nlm.nih.gov/22841311/Lachaux, J. Ph., Rudrauf, D., & Kahane, P. (2003). Intracranial EEG and human brain mapping. Journal of Physiology, 97, 613-628. doi: https://pubmed.ncbi.nlm.nih.gov/15242670/Lee, T.S., & Mumford, D. (2003). Hierarchical bayesian inference in the visualcortex. The Journal of Optical Society of America A. Optics and Image Science and Vision, 20, 1434–1448. doi: https://www.osapublishing.org/josaa/abstract.cfm?uri=josaa-20-7-1434Levin, D. T., & Banaji, M. R. (2006). Distortions in the perceived lightness of faces: The role of race categories. Journal of Experimental Psychology: General, 35(4), 501–512. doi: https://sites.fas.harvard.edu/~mrbworks/articles/2006_JEPG.pdfMacpherson, F. (2012). Cognitive penetration of color experience: Rethinking the issue in light of an indirect mechanism. Philosophy and Phenomenological Research, 84(1), 24-62. doi: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1933-1592.2010.00481.xMacpherson, F. (2017). The relationship between cognitive penetration and predictive coding. Consciousness and Cognition, 47, 6–16. doi: https://www.sciencedirect.com/science/article/pii/S1053810016300496Marchi, M., & Newen, A. (2015). Cognitive penetrability and emotion recognition. Frontiers in Psychology, 6, 828. doi: https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00828/fullMuckli, L., & Petro, L. S. (2013). Network interactions: non‐geniculate input to V1. Current Opinion in Neurobiology, 23(2), 195–201. doi: https://www.sciencedirect.com/science/article/pii/S0959438813000366Newen, A., & Vetter, P. (2017). Why the cognitive penetration of our perceptual experience is still the most plausible account. Consciousness and Cognition, 47, 26-37. https://pubmed.ncbi.nlm.nih.gov/27667320/Nienborg, H., & Roelfsema, P. R. (2015). Belief states as a framework to explain extra-retinal influences in visual cortex. Current Opinion in Neurobiology, 32, 45–52. doi: https://www.sciencedirect.com/science/article/pii/S095943881400213XNusslock, R., Young, C. B., Pornpattananangkul, N., & Damme, K. S. F. (2015). Neurophysiological and neuroimaging techniques. En R. Cautinand, & S. O., Lilienfeld, The encyclopedia of clinical psychology (pp. 1-9). Hoboken, NJ: John Wiley & Sons. https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118625392.wbecp557O’Callaghan, C., Kveraga, K., Shine, J. M., Adams Jr., R. B., & Bar, M. (2017). Predictions penetrate perception: Converging insights from brain, behaviour and disorder. Consciousness and Cognition, 47, 63–74. doi: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764074/Ogilvie, R., & Carruthers, P. (2016). Opening up vision: The case against encapsulation. Review of Philosophy and Psychology, 7, 721–742. doi: https://psycnet.apa.org/record/2015-54268-001Petro, L. S., Smith, F. W., Schyns, P. G. & Muckli, L. (2013). Decoding face categories in diagnostic subregions of primary visual cortex. European Journal of Neuroscience, 37, 1130–1139. doi: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816327/Pinker, S. (2005). So How Does the Mind Work? Mind & Language, 20(1), 1–24. https://stevenpinker.com/files/pinker/files/so_how_does_the_mind_work.pdf https://stevenpinker.com/files/pinker/files/so_how_does_the_mind_work.pdfPinto, Y., van Gaal, S., de Lange, F. P., Lamme, V. A. F., & Seth, A. K. (2015). Expectations accelerate entry of visual stimuli into awareness. Journal of Vision, 15(8), 13, 1-15. doi: https://jov.arvojournals.org/article.aspx?articleid=2337707Pylyshyn, Z. (1999). Is vision continuous with cognition? The case for cognitive impenetrability of visual perception. The behavioral and brain sciences, 22(3), 341-423. doi: https://pubmed.ncbi.nlm.nih.gov/11301517/Raftopoulos, A. (2014). The cognitive impenetrability of the content of early vision is a necessary and sufficient condition for purely nonconceptual content. Philosophical Psychology, 27(5), 601–620. doi: https://www.tandfonline.com/doi/abs/10.1080/09515089.2012.729486Raftopoulos, A. (2019). Pre-cueing, early vision, and cognitive penetrability. En C. 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