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Is information theory, or the assumptions that surround it, holding back neuroscience?

Published online by Cambridge University Press:  28 November 2019

Lee de-Wit
Affiliation:
Department of Psychology, University of Cambridge, CambridgeCB2 3EBUnited [email protected]://www.psychol.cam.ac.uk/people/lee-de-wit
Vebjørn Ekroll
Affiliation:
Department of Psychosocial Science, University of Bergen, 5020Bergen, [email protected]://www.uib.no/en/persons/Vebjørn.Ekroll
Dietrich Samuel Schwarzkopf
Affiliation:
School of Optometry & Vision Science, University of Auckland, Grafton, Auckland1023, New [email protected]://unidirectory.auckland.ac.nz/people/d-schwarzkopf Experimental Psychology, University College London, LondonWC1N 1PJ, United Kingdom
Johan Wagemans
Affiliation:
Laboratory of Experimental Psychology, University of Leuven (K.U. Leuven), B-3000Leuven, [email protected]://www.gestaltrevision.be/en/about-us/principal-investigator

Abstract

The challenges raised in this article are not with information theory per se, but the assumptions surrounding it. Neuroscience isn't sufficiently critical about the appropriate ‘receiver’ or ‘channel’, focuses on decoding ‘parts’, and often relies on a flawed ‘veridicality’ assumption. If these problematic assumptions were questioned, information theory could be better directed to help us understand how the brain works.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2019

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References

de-Wit, L., Alexander, D., Ekroll, V. & Wagemans, J. (2016) Is neuroimaging measuring information in the brain? Psychonomic Bulletin & Review 23(5):1415–28.CrossRefGoogle Scholar
Kogo, N. & Wagemans, J. (2013) The “side” matters: How configurality is reflected in completion (Discussion Paper). Cognitive Neuroscience 4:3161.CrossRefGoogle Scholar
Marr, D. (1982b) Vision: A computational investigation into the human representation and processing of visual information. W. H. Freeman.Google Scholar
Mausfeld, R. (2003) No psychology in–no psychology out. Psychologische Rundschau 54(3):185–91.CrossRefGoogle Scholar
von Uexküll, J. (1992) A stroll through the worlds of animals and men: A picture book of invisible worlds. Semiotica 89(4):319–91.CrossRefGoogle Scholar