Author
Listed:
- Elsa Fouragnan
(Interdepartmental Centre for Mind/Brain Sciences - UNITN - Università degli Studi di Trento = University of Trento)
- Gabriele Chierchia
(Interdepartmental Centre for Mind/Brain Sciences - UNITN - Università degli Studi di Trento = University of Trento)
- Suzanne Greiner
(NILab - NeuroInformatics Laboratory of Bruno Kessler Foundation - UNITN - Università degli Studi di Trento = University of Trento)
- Rémi Neveu
(ISC-MJ - Institut des sciences cognitives Marc Jeannerod - Centre de neuroscience cognitive - UMR5229 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - CNRS - Centre National de la Recherche Scientifique)
- Paolo Avesani
(NILab - NeuroInformatics Laboratory of Bruno Kessler Foundation - UNITN - Università degli Studi di Trento = University of Trento)
- Giorgio Coricelli
(Interdepartmental Centre for Mind/Brain Sciences - UNITN - Università degli Studi di Trento = University of Trento, GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)
Abstract
Humans learn to trust each other by evaluating the outcomes of repeated interpersonal interactions. However, available prior information on the reputation of traders may alter the way outcomes affect learning. Our functional magnetic resonance imaging study is the first to allow the direct comparison of interaction-based and prior-based learning. Twenty participants played repeated trust games with anonymous counterparts. We manipulated two experimental conditions: whether or not reputational priors were provided, and whether counterparts were generally trustworthy or untrustworthy. When no prior information is available our results are consistent with previous studies in showing that striatal activation patterns correlate with behaviorally estimated reinforcement learning measures. However, our study additionally shows that this correlation is disrupted when reputational priors on counterparts are provided. Indeed participants continue to rely on priors even when experience sheds doubt on their accuracy. Notably, violations of trust from a cooperative counterpart elicited stronger caudate deactivations when priors were available than when they were not. However, tolerance to such violations appeared to be mediated by prior-enhanced connectivity between the caudate nucleus and ventrolateral prefrontal cortex, which anticorrelated with retaliation rates. Moreover, on top of affecting learning mechanisms, priors also clearly oriented initial decisions to trust, reflected in medial prefrontal cortex activity.
Suggested Citation
Elsa Fouragnan & Gabriele Chierchia & Suzanne Greiner & Rémi Neveu & Paolo Avesani & Giorgio Coricelli, 2013.
"Reputational Priors Magnify Striatal Responses to Violations of Trust,"
Post-Print
halshs-00932753, HAL.
Handle:
RePEc:hal:journl:halshs-00932753
DOI: 10.1523/JNEUROSCI.3086-12.2013
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
search for a similarly titled item that would be
available.
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Yang Hongtao & Li Haiyan, 2018.
"Trust Cognition of Entrepreneurs’ Behavioral Consistency Modulates Investment Decisions of Venture Capitalists in Cooperation,"
Entrepreneurship Research Journal, De Gruyter, vol. 8(3), pages 1-15, July.
- Giorgia Ponsi & Maria Serena Panasiti & Salvatore Maria Aglioti & Marco Tullio Liuzza, 2017.
"Right-wing authoritarianism and stereotype-driven expectations interact in shaping intergroup trust in one-shot vs multiple-round social interactions,"
PLOS ONE, Public Library of Science, vol. 12(12), pages 1-23, December.
- M. A. Pisauro & E. F. Fouragnan & D. H. Arabadzhiyska & M. A. J. Apps & M. G. Philiastides, 2022.
"Neural implementation of computational mechanisms underlying the continuous trade-off between cooperation and competition,"
Nature Communications, Nature, vol. 13(1), pages 1-18, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-00932753. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.