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Individual risk attitudes arise from noise in neurocognitive magnitude representations

View ORCID ProfileMiguel Barretto Garcia, View ORCID ProfileGilles de Hollander, View ORCID ProfileMarcus Grueschow, View ORCID ProfileRafael Polania, Michael Woodford, View ORCID ProfileChristian C. Ruff
doi: https://doi.org/10.1101/2022.08.22.504413
Miguel Barretto Garcia
1Zurich Center for Neuroeconomics, Department of Economics, University of Zürich, Zurich, Zurich, Switzerland
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  • For correspondence: miguel.garcia@econ.uzh.ch
Gilles de Hollander
1Zurich Center for Neuroeconomics, Department of Economics, University of Zürich, Zurich, Zurich, Switzerland
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Marcus Grueschow
1Zurich Center for Neuroeconomics, Department of Economics, University of Zürich, Zurich, Zurich, Switzerland
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Rafael Polania
2Decision Neuroscience Lab, Department of Health Sciences and Technology, ETH Zürich, Zurich, Switzerland
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Michael Woodford
3Department of Economics, Columbia University, New York, USA
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Christian C. Ruff
1Zurich Center for Neuroeconomics, Department of Economics, University of Zürich, Zurich, Zurich, Switzerland
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ABSTRACT

Humans are generally risk averse: they prefer options with smaller certain outcomes over those with larger uncertain ones. This risk aversion is classically explained with a concave utility function, meaning that successive increases in monetary payoffs should increase subjective valuations by progressively smaller amounts. Here, we provide neural and behavioural evidence that risk aversion may also arise from a purely perceptual bias: The noisy logarithmic coding of numerical magnitudes can lead individuals to underestimate the size of larger monetary payoffs, leading to apparent risk aversion even when subjective valuation increases linearly with the estimated amount. A formal model of this process predicts that risk aversion should systematically increase when individuals represent numerical magnitudes more noisily. We confirmed this prediction by measuring both the mental and neural acuity of magnitude representations during a purely perceptual task and relating these measures to individual risk attitudes during separate financial decisions. Computational model fitting suggested that subjects based both types of choices on similar mental magnitude representations, with correlated precision across the separate perceptual and risky choices. Increased stimulus noise due to the presentation format of risky outcomes led to increased risk aversion, just as predicted by the model. The precision of the underlying neural magnitude representations was estimated with a numerical population receptive field model fitted to the fMRI data of the perceptual task. Subjects with more precise magnitude representations in parietal cortex indeed showed less variable behaviour and less risk-aversion in the separate financial choices. Our results highlight that individual patterns of economic behaviour may, at least partially, be determined by capacity limitations in perceptual processing rather than by processes that assign subjective values to monetary rewards.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted August 22, 2022.
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Individual risk attitudes arise from noise in neurocognitive magnitude representations
Miguel Barretto Garcia, Gilles de Hollander, Marcus Grueschow, Rafael Polania, Michael Woodford, Christian C. Ruff
bioRxiv 2022.08.22.504413; doi: https://doi.org/10.1101/2022.08.22.504413
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Individual risk attitudes arise from noise in neurocognitive magnitude representations
Miguel Barretto Garcia, Gilles de Hollander, Marcus Grueschow, Rafael Polania, Michael Woodford, Christian C. Ruff
bioRxiv 2022.08.22.504413; doi: https://doi.org/10.1101/2022.08.22.504413

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