The computational relationship between reinforcement learning, social 
inference, and paranoia

Barnby, Joseph M.; Mehta, Mitul A.; Moutoussis, Michael

doi:10.1371/journal.pcbi.1010326

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The computational relationship between reinforcement learning, social inference, and paranoia

Barnby, J. M., Mehta, M. A., & Moutoussis, M. (2022). The computational relationship between reinforcement learning, social inference, and paranoia. PLoS Computational Biology, 18(7): e1010326. doi:10.1371/journal.pcbi.1010326.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-34E6-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-34E8-5

Genre: Journal Article

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https://doi.org/10.1371/journal.pcbi.1010326 (Publisher version) Open Access Gold

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Creators:
Barnby, Joseph M., Author
Mehta, Mitul A., Author
Moutoussis, Michael¹, Author

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1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society, ou_2205641

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Language(s): eng - English

Dates: Date issued: 2022

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1371/journal.pcbi.1010326

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Title: PLoS Computational Biology

Source Genre: Journal

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Pages: - Volume / Issue: 18 (7) Sequence Number: e1010326 Start / End Page: - Identifier: -