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Perceptual suboptimality: Bug or feature?

Published online by Cambridge University Press:  10 January 2019

Christopher Summerfield  and
Vickie Li Open the ORCID record for Vickie Li [Opens in a new window]
Christopher Summerfield
Affiliation:
Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom. [email protected]@psy.ox.ac.uk
Vickie Li
Affiliation:
Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom. [email protected]@psy.ox.ac.uk
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Abstract

Rahnev & Denison (R&D) argue that whether people are “optimal” or “suboptimal” is not a well-posed question. We agree. However, we argue that the critical question is why humans make suboptimal perceptual decisions in the first place. We suggest that perceptual distortions have a normative explanation – that they promote efficient coding and computation in biological information processing systems.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 41 , 2018 , e245
Copyright
Copyright © Cambridge University Press 2018 

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References

Appelle, S. (1972) Perception and discrimination as function of stimulus orientation. Psychological Bulletin 78:266–78.Google Scholar
de Gardelle, V. & Summerfield, C. (2011) Robust averaging during perceptual judgment. Proceedings of the National Academy of Sciences of the United States of America 108(32):13341–46. doi:10.1073/pnas.1104517108.Google Scholar
Drugowitsch, J., Wyart, V., Devauchelle, A.-D. & Koechlin, E. (2016) Computational precision of mental inference as critical source of human choice suboptimality. Neuron 92(6):1398–411. Available at: http://dx.doi.org/10.1016/j.neuron.2016.11.005.Google Scholar
Girshick, A. R., Landy, M. S. & Simoncelli, E. P. (2011) Cardinal rules: Visual orientation perception reflects knowledge of environmental statistics. Nature Neuroscience 14(7):926–32. Available at: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3125404&tool=pmcentrez&rendertype=abstract.Google Scholar
Li, V., Herce Castanon, S., Solomon, J. A., Vandormael, H. & Summerfield, C. (2017) Robust averaging protects decisions from noise in neural computations. PLoS Computational Biology 13(8):e1005723. doi:10.1371/journal.pcbi.1005723.Google Scholar
Simoncelli, E. P. (2003) Vision and the statistics of the visual environment. Current Opinion in Neurobiology 13(2):144–49.Google Scholar
Spitzer, B., Waschke, L. & Summerfield, C. (2017) Selective overweighting of larger magnitudes during numerical comparison. Nature Human Behaviour 1:0145. doi:10.1038/s41562-017-0145.Google Scholar
Tsetsos, K., Moran, R., Moreland, J., Chater, N., Usher, M. & Summerfield, C. (2016a) Economic irrationality is optimal during noisy decision making. Proceedings of the National Academy of Sciences of the United States of America 113(11):3102–107. Available at: http://www.pnas.org/content/early/2016/02/24/1519157113.long.Google Scholar
Wei, X.-X. & Stocker, A. A. (2015) A Bayesian observer model constrained by efficient coding can explain “anti-Bayesian” percepts. Nature Neuroscience 18:1509–17. Available at: http://dx.doi.org/10.1038/nn.4105.Google Scholar
Wei, X. X. & Stocker, A. A. (2017) Lawful relation between perceptual bias and discriminability. Proceedings of the National Academy of Sciences of the United States of America 114(38):10244–49.Google Scholar