Characterizing information integration in reinforcement learning: a neuro-computational investigation

Project Information

INFORL

Grant agreement ID: 948671

DOI

10.3030/948671

EC signature date 17 February 2021

Start date 1 September 2021

End date 31 August 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 500 000,00

EU contribution

€ 1 500 000,00

Coordinated by

ECOLE D'ECONOMIE DE PARIS
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (4)

The computational roots of positivity and confirmation biases in reinforcement learning

Author(s): Maël Lebreton, Stefano Palminteri
Published in: Trends in Cognitive Sciences, 2022, Page(s) 607 - 621, ISSN 1364-6613
Publisher: Elsevier BV
DOI: 10.1016/j.tics.2022.04.005

Linking confidence biases to reinforcement-learning processes

Author(s): Nahuel Salem-Garcia, Stefano Palminteri, Maël Lebreton
Published in: Psychological Review, 2023, ISSN 0033-295X
Publisher: American Psychological Association
DOI: 10.1037/rev0000424

Neural and computational underpinnings of biased confidence in human reinforcement learning.

Author(s): Chih-Chung Ting, Nahuel Salem-Garcia, Stefano Palminteri, Jan B. Engelmann & Mael Lebreton
Published in: Nature Communications, 2023, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/s41467-023-42589-5

Context-dependent outcome encoding in human reinforcement learningContext-dependent outcome encoding in human reinforcement learning

Author(s): Maël Lebreton, Stefano Palminteri
Published in: Current Opinion in Behavioral Sciences, 2021, Page(s) 144-151, ISSN 2352-1546
Publisher: Elsevier Limited
DOI: 10.1016/j.cobeha.2021.06.006