Literature DB >> 29626169

On the Flexibility of Basic Risk Attitudes in Monkeys.

Shiva Farashahi1, Habiba Azab2, Benjamin Hayden3, Alireza Soltani4.   

Abstract

Monkeys and other animals appear to share with humans two risk attitudes predicted by prospect theory: an inverse-S-shaped probability-weighting (PW) function and a steeper utility curve for losses than for gains. These findings suggest that such preferences are stable traits with common neural substrates. We hypothesized instead that animals tailor their preferences to subtle changes in task contexts, making risk attitudes flexible. Previous studies used a limited number of outcomes, trial types, and contexts. To gain a broader perspective, we examined two large datasets of male macaques' risky choices: one from a task with real (juice) gains and another from a token task with gains and losses. In contrast to previous findings, monkeys were risk seeking for both gains and losses (i.e., lacked a reflection effect) and showed steeper gain than loss curves (loss seeking). Utility curves for gains were substantially different in the two tasks. Monkeys showed nearly linear PWs in one task and S-shaped ones in the other; neither task produced a consistent inverse-S-shaped curve. To account for these observations, we developed and tested various computational models of the processes involved in the construction of reward value. We found that adaptive differential weighting of prospective gamble outcomes could partially account for the observed differences in the utility functions across the two experiments and thus provide a plausible mechanism underlying flexible risk attitudes. Together, our results support the idea that risky choices are constructed flexibly at the time of elicitation and place important constraints on neural models of economic choice.SIGNIFICANCE STATEMENT We respond in reliable ways to risk, but are our risk preferences stable traits or ephemeral states? Using various computational models, we examined two large datasets of macaque risky choices in two different tasks. We observed several deviations from "classic" risk preferences seen in humans and monkeys: no reflection effect, loss seeking as opposed to loss aversion, and linear and S-shaped, as opposed to inverse-S-shaped, probability distortion. These results challenge the idea that our risk attitudes are evolved traits shared with the last common ancestor of macaques and humans, suggesting instead that behavioral flexibility is the hallmark of risky choice in primates. We show how this flexibility can emerge partly as a result of interactions between attentional and reward systems.
Copyright © 2018 the authors 0270-6474/18/384383-16$15.00/0.

Entities:  

Keywords:  cognitive flexibility; loss seeking; probability distortion; reflection effect; risk

Mesh:

Year:  2018        PMID: 29626169      PMCID: PMC5932645          DOI: 10.1523/JNEUROSCI.2260-17.2018

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  53 in total

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2.  Neuronal selectivity for spatial positions of offers and choices in five reward regions.

Authors:  Caleb E Strait; Brianna J Sleezer; Tommy C Blanchard; Habiba Azab; Meghan D Castagno; Benjamin Y Hayden
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Review 3.  Prospect theory on the brain? Toward a cognitive neuroscience of decision under risk.

Authors:  Christopher Trepel; Craig R Fox; Russell A Poldrack
Journal:  Brain Res Cogn Brain Res       Date:  2005-04

4.  Risk-sensitive neurons in macaque posterior cingulate cortex.

Authors:  Allison N McCoy; Michael L Platt
Journal:  Nat Neurosci       Date:  2005-08-14       Impact factor: 24.884

5.  Temporal discounting predicts risk sensitivity in rhesus macaques.

Authors:  Benjamin Y Hayden; Michael L Platt
Journal:  Curr Biol       Date:  2007-01-09       Impact factor: 10.834

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Review 7.  Mind the gap? Description, experience, and the continuum of uncertainty in risky choice.

Authors:  Adrian R Camilleri; Ben R Newell
Journal:  Prog Brain Res       Date:  2013       Impact factor: 2.453

8.  Thirst-dependent risk preferences in monkeys identify a primitive form of wealth.

Authors:  Hiroshi Yamada; Agnieszka Tymula; Kenway Louie; Paul W Glimcher
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-09       Impact factor: 11.205

9.  Hot-hand bias in rhesus monkeys.

Authors:  Tommy C Blanchard; Andreas Wilke; Benjamin Y Hayden
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10.  Fictive reward signals in the anterior cingulate cortex.

Authors:  Benjamin Y Hayden; John M Pearson; Michael L Platt
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2.  Salience-Driven Value Construction for Adaptive Choice under Risk.

Authors:  Mehran Spitmaan; Emily Chu; Alireza Soltani
Journal:  J Neurosci       Date:  2019-04-25       Impact factor: 6.167

3.  Ventral striatum's role in learning from gains and losses.

Authors:  Craig A Taswell; Vincent D Costa; Elisabeth A Murray; Bruno B Averbeck
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-13       Impact factor: 11.205

4.  Behavioural variability contributes to over-staying in patchy foraging.

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5.  Separable Influences of Reward on Visual Processing and Choice.

Authors:  Alireza Soltani; Mohsen Rakhshan; Robert J Schafer; Brittany E Burrows; Tirin Moore
Journal:  J Cogn Neurosci       Date:  2020-11-09       Impact factor: 3.225

6.  Economic behaviours among non-human primates.

Authors:  Sacha Bourgeois-Gironde; Elsa Addessi; Thomas Boraud
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-01-11       Impact factor: 6.237

7.  The Transition from Evaluation to Selection Involves Neural Subspace Reorganization in Core Reward Regions.

Authors:  Seng Bum Michael Yoo; Benjamin Y Hayden
Journal:  Neuron       Date:  2019-12-10       Impact factor: 17.173

8.  Inactivation of Medial Frontal Cortex Changes Risk Preference.

Authors:  Xiaomo Chen; Veit Stuphorn
Journal:  Curr Biol       Date:  2018-09-20       Impact factor: 10.834

9.  Latent learning, cognitive maps, and curiosity.

Authors:  Maya Zhe Wang; Benjamin Y Hayden
Journal:  Curr Opin Behav Sci       Date:  2020-07-17

10.  The adaptive value of probability distortion and risk-seeking in macaques' decision-making.

Authors:  A Nioche; N P Rougier; M Deffains; S Bourgeois-Gironde; S Ballesta; T Boraud
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-01-11       Impact factor: 6.237

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