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Prospection does not imply predictive processing

Published online by Cambridge University Press:  19 June 2020

Piotr Litwin
Affiliation:
Faculty of Psychology, University of Warsaw, 00-189Warszawa, Poland. piotr.litwin@psych.uw.edu.pl Institute of Philosophy and Sociology, Polish Academy of Sciences, 00-330Warszawa, Poland. mmilkows@ifispan.waw.plhttp://marcinmilkowski.pl/en/
Marcin Miłkowski
Affiliation:
Institute of Philosophy and Sociology, Polish Academy of Sciences, 00-330Warszawa, Poland. mmilkows@ifispan.waw.plhttp://marcinmilkowski.pl/en/

Abstract

Predictive processing models of psychopathologies are not explanatorily consistent with the present account of abstract thought. These models are based on latent variables probabilistically mapping the structure of the world. As such, they cannot be informed by representational ontology based on mental objects and states. What actually is the case is merely some terminological affinity between subjective and informational uncertainty.

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

Corlett, P. R., Horga, G., Fletcher, P. C., Alderson-Day, B., Schmack, K. & Powers, A. R. (2019) Hallucinations and strong priors. Trends in Cognitive Sciences 23(2):114–27. https://doi.org/10.1016/j.tics.2018.12.001.CrossRefGoogle ScholarPubMed
Denève, S. & Jardri, R. (2016) Circular inference: Mistaken belief, misplaced trust. Current Opinion in Behavioral Sciences 11:4048. https://doi.org/10.1016/j.cobeha.2016.04.001.CrossRefGoogle Scholar
Friston, K., Brown, H. R., Siemerkus, J. & Stephan, K. E. (2016) The dysconnection hypothesis (2016). Schizophrenia Research 176(2–3):8394. https://doi.org/10.1016/j.schres.2016.07.014.CrossRefGoogle Scholar
Gładziejewski, P. (2015) Predictive coding and representationalism. Synthese 124. doi: 10.1007/s11229-015-0762-9.Google Scholar
Grzeczkowski, L., Roinishvili, M., Chkonia, E., Brand, A., Mast, F. W., Herzog, M. H. & Shaqiri, A. (2018) Is the perception of illusions abnormal in schizophrenia? Psychiatry Research 270:929–39. https://doi.org/10.1016/j.psychres.2018.10.063.CrossRefGoogle Scholar
Kaliuzhna, M., Stein, T., Rusch, T., Sekutowicz, M., Sterzer, P. & Seymour, K. J. (2019) No evidence for abnormal priors in early vision in schizophrenia. Schizophrenia Research 210:245–54. https://doi.org/10.1016/j.schres.2018.12.027.CrossRefGoogle Scholar
Powers, A. R., Mathys, C. & Corlett, P. R. (2017) Pavlovian conditioning-induced hallucinations result from overweighting of perceptual priors. Science 357(6351):596600. https://doi.org/10.1126/science.aan3458.CrossRefGoogle ScholarPubMed
Sterzer, P., Adams, R. A., Fletcher, P., Frith, C., Lawrie, S. M., Muckli, L.Corlett, P. R. (2018) The predictive coding account of psychosis. Biological Psychiatry 84(9):634–43. https://doi.org/10.1016/j.biopsych.2018.05.015.CrossRefGoogle Scholar
Sterzer, P., Voss, M., Schlagenhauf, F. & Heinz, A. (2019) Decision-making in schizophrenia: A predictive-coding perspective. NeuroImage 190:133–43. https://doi.org/10.1016/j.neuroimage.2018.05.074.CrossRefGoogle ScholarPubMed
Williams, D. (2018) Hierarchical Bayesian models of delusion. Consciousness and Cognition 61:129–47. https://doi.org/10.1016/j.concog.2018.03.003.CrossRefGoogle ScholarPubMed
Schmack, K., Schnack, A., Priller, J. & Sterzer, P. (2015) Perceptual instability in schizophrenia: Probing predictive coding accounts of delusions with ambiguous stimuli. Schizophrenia Research: Cognition 2(2):7277. doi: 10.1016/j.scog.2015.03.005CrossRefGoogle ScholarPubMed