
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:
Understanding Learning Through Uncertainty and Bias
Rasmus Bruckner, Hauke R. Heekeren, Matthew R. Nassar
(2022)
Open Access | Times Cited: 13
Rasmus Bruckner, Hauke R. Heekeren, Matthew R. Nassar
(2022)
Open Access | Times Cited: 13
Showing 13 citing articles:
Decision-Making under Uncertainty
Rasmus Bruckner, Matthew R. Nassar
(2024)
Open Access | Times Cited: 5
Rasmus Bruckner, Matthew R. Nassar
(2024)
Open Access | Times Cited: 5
Reinforcement Learning Under Uncertainty: Expected Versus Unexpected Uncertainty and State Versus Reward Uncertainty
Adnane Ez‐zizi, Simon Farrell, David S. Leslie, et al.
Computational Brain & Behavior (2023) Vol. 6, Iss. 4, pp. 626-650
Open Access | Times Cited: 12
Adnane Ez‐zizi, Simon Farrell, David S. Leslie, et al.
Computational Brain & Behavior (2023) Vol. 6, Iss. 4, pp. 626-650
Open Access | Times Cited: 12
Expecting the unexpected: a review of learning under uncertainty across development
Selin Topel, Ili Ma, J.J.M. Sleutels, et al.
Cognitive Affective & Behavioral Neuroscience (2023) Vol. 23, Iss. 3, pp. 718-738
Open Access | Times Cited: 10
Selin Topel, Ili Ma, J.J.M. Sleutels, et al.
Cognitive Affective & Behavioral Neuroscience (2023) Vol. 23, Iss. 3, pp. 718-738
Open Access | Times Cited: 10
Knowing what you don’t know: Estimating the uncertainty of feedforward and feedback inputs with prediction-error circuits
Loreen Hertäg, Katharina A. Wilmes, Claudia Clopath
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Loreen Hertäg, Katharina A. Wilmes, Claudia Clopath
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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
Alexander Skowron, Julian Q. Kosciessa, Robert C. Lorenz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Adaptive Integration of Perceptual and Reward Information in an Uncertain World
Prashanti Ganesh, Radoslaw M. Cichy, Nicolas W. Schuck, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Prashanti Ganesh, Radoslaw M. Cichy, Nicolas W. Schuck, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Decision-making under uncertainty
Rasmus Bruckner, Matthew R. Nassar
Elsevier eBooks (2024), pp. 213-233
Closed Access | Times Cited: 1
Rasmus Bruckner, Matthew R. Nassar
Elsevier eBooks (2024), pp. 213-233
Closed Access | Times Cited: 1
Understanding Music and Aging through the lens of Bayesian Inference
Gladys Jiamin Heng, Jiayi Zhang, Leonardo Bonneti, et al.
(2024)
Open Access
Gladys Jiamin Heng, Jiayi Zhang, Leonardo Bonneti, et al.
(2024)
Open Access
Smooth pursuit gain during eye tracking : a comparison of toddlers and preschoolers with autism spectrum disorders and typically developing controls
Henrike Sarah Ferker
(2024)
Open Access
Henrike Sarah Ferker
(2024)
Open Access
Adaptive Integration of Perceptual and Reward Information in an Uncertain World
Prashanti Ganesh, Radoslaw M. Cichy, Nicolas W. Schuck, et al.
(2024)
Open Access
Prashanti Ganesh, Radoslaw M. Cichy, Nicolas W. Schuck, et al.
(2024)
Open Access
Adaptive Integration of Perceptual and Reward Information in an Uncertain World
Prashanti Ganesh, Radoslaw M. Cichy, Nicolas W. Schuck, et al.
(2024)
Open Access
Prashanti Ganesh, Radoslaw M. Cichy, Nicolas W. Schuck, et al.
(2024)
Open Access
Reinforcement learning under uncertainty: expected versus unexpected uncertainty and state versus reward uncertainty
Adnane Ez‐zizi, Simon Farrell, David M. Leslie, et al.
(2022)
Open Access | Times Cited: 1
Adnane Ez‐zizi, Simon Farrell, David M. Leslie, et al.
(2022)
Open Access | Times Cited: 1
Consistency is the key! Learning to adapt in a multi-context predictive inference task.
Laura Wall, Gavin Cooper, Guy E. Hawkins, et al.
(2023)
Open Access
Laura Wall, Gavin Cooper, Guy E. Hawkins, et al.
(2023)
Open Access