Dissecting the links between reward and loss, decision-making, and self-reported affect using a computational approach

Vikki M Neville; Peter Dayan; Iain D Gilchrist; E S Paul; Michael T Mendl

doi:10.1371/journal.pcbi.1008555

Dissecting the links between reward and loss, decision-making, and self-reported affect using a computational approach

Vikki M Neville, Peter Dayan, Iain D Gilchrist, E S Paul, Michael T Mendl

Research output: Contribution to journal › Article (Academic Journal) › peer-review

13 Citations (Scopus)

134 Downloads (Pure)

Original language	English
Article number	e1008555
Journal	PLoS Computational Biology
Volume	17
Issue number	1
DOIs	https://doi.org/10.1371/journal.pcbi.1008555
Publication status	Published - 8 Jan 2021

Bibliographical note

Publisher Copyright:
© 2021 Neville et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Alam, S. R. (Manager), Williams, D. A. G. (Manager), Eccleston, P. E. (Manager) & Greene, D. (Manager)
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Cite this

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AU - Dayan, Peter

AU - Gilchrist, Iain D

AU - Paul, E S

AU - Mendl, Michael T

N1 - Publisher Copyright: © 2021 Neville et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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DO - 10.1371/journal.pcbi.1008555

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Dissecting the links between reward and loss, decision-making, and self-reported affect using a computational approach

Bibliographical note

Access to Document

Handle.net

Equipment

HPC (High Performance Computing) and HTC (High Throughput Computing) Facilities

Cite this