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:

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

Showing 1-25 of 27 citing articles:

Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, et al.
Information Fusion (2019) Vol. 58, pp. 52-68
Open Access | Times Cited: 366

A model for learning based on the joint estimation of stochasticity and volatility
Payam Piray, Nathaniel D. Daw
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 107

Eye pupil signals information gain
Alexandre Zénon
Proceedings of the Royal Society B Biological Sciences (2019) Vol. 286, Iss. 1911, pp. 20191593-20191593
Open Access | Times Cited: 92

State anxiety biases estimates of uncertainty and impairs reward learning in volatile environments
Thomas Hein, Jan de Fockert, María Herrojo Ruiz
NeuroImage (2020) Vol. 224, pp. 117424-117424
Open Access | Times Cited: 77

Forgetting ourselves in flow: an active inference account of flow states and how we experience ourselves within them
Darius Parvizi-Wayne, Lars Sandved-Smith, Riddhi J. Pitliya, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 8

An empirical evaluation of active inference in multi-armed bandits
Dimitrije Marković, Hrvoje Stojić, Sarah Schwöbel, et al.
Neural Networks (2021) Vol. 144, pp. 229-246
Open Access | Times Cited: 36

Federated inference and belief sharing
Karl Friston, Thomas Parr, Conor Heins, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 156, pp. 105500-105500
Open Access | Times Cited: 16

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

Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making
Xu He, Alireza Modirshanechi, Marco P. Lehmann, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 6, pp. e1009070-e1009070
Open Access | Times Cited: 31

Balancing control: A Bayesian interpretation of habitual and goal-directed behavior
Sarah Schwöbel, Dimitrije Marković, Michael N. Smolka, et al.
Journal of Mathematical Psychology (2020) Vol. 100, pp. 102472-102472
Open Access | Times Cited: 25

Belief Updating in Subclinical and Clinical Delusions
Sophie Fromm, Teresa Katthagen, Lorenz Deserno, et al.
Schizophrenia Bulletin Open (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 12

Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder
Marina Ivanova, Ksenia Germanova, D. S. Petelin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, et al.
(2019)
Closed Access | Times Cited: 6

Forgetting Ourselves in Flow: An Active Inference Account of Flow States and How We Experience Ourselves Within Them
Darius Parvizi-Wayne, Lars Sandved-Smith, Riddhi J. Pitliya, et al.
(2023)
Open Access | Times Cited: 2

A model for learning based on the joint estimation of stochasticity and volatility
Payam Piray, Nathaniel D. Daw
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5

Unpredictability vs. volatility and the control of learning
Payam Piray, Nathaniel D. Daw
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 4

Brain dynamics for confidence-weighted learning
Florent Meyniel
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 3

Balancing control: a Bayesian interpretation of habitual and goal-directed behavior
Sarah Schwöbel, Dimitrije Marković, Michael N. Smolka, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 2

Neuronal Sequence Models for Bayesian Online Inference
Sascha Frölich, Dimitrije Marković, Stefan J. Kiebel
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1

Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN)
Veselka Boeva, Emiliano Casalicchio, Shahrooz Abghari, et al.
Annals of Computer Science and Information Systems (2022) Vol. 31, pp. 71-78
Open Access | Times Cited: 1

Eye pupil signals information gain
Alexandre Zénon
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access

Position Papers of the 17th Conference on Computer Science and Intelligence Systems
Karol Chlasta, Paweł Sochaczewski, Izabela Grabowska, et al.
Annals of Computer Science and Information Systems (2022) Vol. 31
Open Access

IaaS Signature Change Detection with Performance Noise.
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya
arXiv (Cornell University) (2021)
Closed Access

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