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  Reward and punisher experience alter rodent decision-making in a judgement bias task

Neville, V., King, J., Gilchrist, I., Dayan, P., Paul, E., & Mendl, M. (2020). Reward and punisher experience alter rodent decision-making in a judgement bias task. Scientific Reports, 10(1): 11839, pp. 1-14. doi: 10.1038/s41598-020-68737-1.

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Neville, V, Author
King, J, Author
Gilchrist, ID, Author
Dayan, P1, 2, Author           
Paul, ES, Author
Mendl, M, Author
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: The influence of affective states on decision-making is likely to be complex. Negative states resulting from experience of punishing events have been hypothesised to generate enhanced expectations of future punishment and 'pessimistic'/risk-averse decisions. However, they may also influence how decision-outcomes are valued. Such influences may further depend on whether decisions at hand are germane to the rewards or punishers that induced the affective state in the first place. Here we attempt to dissect these influences by presenting either many or few rewards or punishers of different types (sucrose vs air-puff; 50 kHz vs 22 kHz ultrasonic vocalisations) to rats, and investigating their subsequent decisions in a judgement bias task that employed sucrose and air-puff as decision outcomes. Rats that received many sucrose pellets prior to testing were more risk-averse than those receiving many air-puffs. Ultrasonic vocalisations did not alter decision-making. Computational analysis revealed a higher weighting of punishers relative to rewards (in agreement with findings from a separate behavioural task) and a bias towards the risk-averse response following pre-test sucrose compared to pre-test air-puff. Thus, in this study reward and punisher manipulation of affective state appeared to alter decision-making by influencing both expectation and valuation of decision-outcomes in a domain-specific way.

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 Dates: 2020-07
 Publication Status: Published online
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 Identifiers: DOI: 10.1038/s41598-020-68737-1
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Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
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Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 10 (1) Sequence Number: 11839 Start / End Page: 1 - 14 Identifier: ISSN: 2045-2322
CoNE: https://pure.mpg.de/cone/journals/resource/2045-2322