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Belief updating in uncertain environments is differentially sensitive to reward and punishment learning: Evidence from ERP.

Overview

Authors: Lingyun Xiang1, Baike Li2, Meng Liu2, Weijun Li1
ORCID iDs: Meng Liu
  1. Institute of Psychological and Brain Sciences, Liaoning Normal University, Dalian, China
  2. Department of Psychology, Liaoning Normal University, Dalian, China
Institutions: Liaoning Normal University (China)
Journal: iScience, volume 29, issue 7, article 116473
Dates: received 3 January 2026; accepted 3 June 2026; published online 23 June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.isci.2026.116473 · PMID 42389600 · PMCID PMC13319946 · OpenAlex W7165669797
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: EEG (modality), cognitive (subfield)
Methods: Spectral & time-frequency, Smoothing, state filtering, decompositions, Preprocessing, Statistics, fMRI & imaging
Keywords: Neuroscience, Sensory neuroscience, Cognitive neuroscience, Techniques in neuroscience
Topic: Decision-Making and Behavioral Economics (General Decision Sciences, Decision Sciences), according to OpenAlex
Funding: National Natural Science Foundation of China
Citations: not cited yet (Europe PMC); 67 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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The paper's code and data availability statement is in the Data section.

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Data

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Code and data availability statement

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  • it says that the data are available on request
  • it says that the code is available on request

Read it in the paper: doi.org/10.1016/j.isci.2026.116473.

Versions

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Version 2, 28 September 2026

  • Authors: added Meng Liu (0000-0001-7840-8565); removed Meng Liu

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 4 keywords, 1 funder, 64 references.

Cite

This paper

Xiang, L., Li, B., Liu, M., & Li, W. (2026). Belief updating in uncertain environments is differentially sensitive to reward and punishment learning: Evidence from ERP. iScience, 29(7), 116473. https://doi.org/10.1016/j.isci.2026.116473

BibTeX

@article{xiang2026belief,
author = {Xiang, Lingyun and Li, Baike and Liu, Meng and Li, Weijun},
title = {{Belief updating in uncertain environments is differentially sensitive to reward and punishment learning: Evidence from ERP}},
journal = {iScience},
year = {2026},
month = jun,
volume = {29},
number = {7},
pages = {116473},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.116473},
url = {https://doi.org/10.1016/j.isci.2026.116473},
pmid = {42389600},
pmcid = {PMC13319946}
}

RIS

TY - JOUR
AU - Xiang, Lingyun
AU - Li, Baike
AU - Liu, Meng
AU - Li, Weijun
TI - Belief updating in uncertain environments is differentially sensitive to reward and punishment learning: Evidence from ERP
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/06/23
VL - 29
IS - 7
SP - 116473
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.116473
UR - https://doi.org/10.1016/j.isci.2026.116473
LA - en
ER -

CSL-JSON

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