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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Brain dynamics for confidence-weighted learning
Florent Meyniel
PLoS Computational Biology (2020) Vol. 16, Iss. 6, pp. e1007935-e1007935
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Why and When Beliefs Change
Tali Sharot, Max Rollwage, Cass R. Sunstein, et al.
Perspectives on Psychological Science (2022) Vol. 18, Iss. 1, pp. 142-151
Open Access | Times Cited: 56
Studying the neural representations of uncertainty
Edgar Y. Walker, Stephan Pohl, Rachel N. Denison, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 11, pp. 1857-1867
Closed Access | Times Cited: 29
A taxonomy of surprise definitions
Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
Journal of Mathematical Psychology (2022) Vol. 110, pp. 102712-102712
Open Access | Times Cited: 37
Fast adaptation to rule switching using neuronal surprise
Martin Barry, Wulfram Gerstner
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011839-e1011839
Open Access | Times Cited: 6
Neural surprise in somatosensory Bayesian learning
Sam Gijsen, Miro Grundei, Robert Tjarko Lange, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 2, pp. e1008068-e1008068
Open Access | Times Cited: 36
Computational and neural mechanisms of statistical pain learning
Flavia Mancini, Suyi Zhang, Ben Seymour
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 26
Confidence of probabilistic predictions modulates the cortical response to pain
Dounia Mulders, Ben Seymour, André Mouraux, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 4
Open Access | Times Cited: 16
A quantitative model reveals a frequency ordering of prediction and prediction-error signals in the human brain
Zenas C. Chao, Yiyuan Teresa Huang, Chien‐Te Wu
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 22
Pupil dilation offers a time-window on prediction error
Olympia Colizoli, Tessa M. van Leeuwen, Danaja Rutar, et al.
(2025)
Open Access
Pupil dilation offers a time-window on prediction error
Olympia Colizoli, Tessa M. van Leeuwen, Danaja Rutar, et al.
(2025)
Open Access
Neural and computational underpinnings of biased confidence in human reinforcement learning
Chih-Chung Ting, Nahuel Salem-Garcia, Stefano Palminteri, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Erroneous predictive coding across brain hierarchies in a non-human primate model of autism spectrum disorder
Zenas C. Chao, Misako Komatsu, Madoka Matsumoto, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
Learning and forgetting using reinforced Bayesian change detection
Vincent Moens, Alexandre Zénon
PLoS Computational Biology (2019) Vol. 15, Iss. 4, pp. e1006713-e1006713
Open Access | Times Cited: 27
An implicit representation of stimulus ambiguity in pupil size
Jackson Graves, Paul Égré, Daniel Pressnitzer, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 48
Open Access | Times Cited: 21
Neurocomputational Underpinnings of Expected Surprise
Françoise Lecaignard, Olivier Bertrand, Anne Caclin, et al.
Journal of Neuroscience (2021) Vol. 42, Iss. 3, pp. 474-486
Open Access | Times Cited: 13
A characterization of the neural representation of confidence during probabilistic learning
Tiffany Bounmy, Evelyn Eger, Florent Meyniel
NeuroImage (2023) Vol. 268, pp. 119849-119849
Open Access | Times Cited: 5
Neural variability compresses with increasing belief precision during Bayesian inference
Alexander Skowron, Julian Q. Kosciessa, Robert C. Lorenz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Model-Based Approaches to Investigating Mismatch Responses in Schizophrenia
Dirk Christoph Gütlin, Hannah McDermott, Miro Grundei, et al.
Clinical EEG and Neuroscience (2024)
Open Access | Times Cited: 1
Computational Modeling shows Confirmation Bias during Formation and Revision of Self-Beliefs
Alexander Schröder, Nora Czekalla, Annalina V. Mayer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Gated recurrence enables simple and accurate sequence prediction in stochastic, changing, and structured environments
Cédric Foucault, Florent Meyniel
eLife (2021) Vol. 10
Open Access | Times Cited: 9
Active inference and the two-step task
Sam Gijsen, Miro Grundei, Felix Blankenburg
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Neurocomputational underpinnings of expected surprise
Françoise Lecaignard, Olivier Bertrand, Anne Caclin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 6
Neural and computational underpinnings of biased confidence in human reinforcement learning
Chih-Chung Ting, Nahuel Salem-Garcia, Stefano Palminteri, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Dynamics of Oddball Sound Processing: Trial-by-Trial Modeling of ECoG Signals
Françoise Lecaignard, Raphaëlle Bertrand, Peter Brunner, et al.
Frontiers in Human Neuroscience (2022) Vol. 15
Open Access | Times Cited: 4
Two Determinants of Dynamic Adaptive Learning for Magnitudes and Probabilities
Cédric Foucault, Florent Meyniel
Open Mind (2024) Vol. 8, pp. 615-638
Open Access
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