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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:

Distributional reinforcement learning in prefrontal cortex
Timothy Müller, James L. Butler, Sebastijan Veselič, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 3, pp. 403-408
Open Access | Times Cited: 13

Showing 13 citing articles:

Distributional Reinforcement Learning
Marc G. Bellemare, Will Dabney, Mark Rowland
The MIT Press eBooks (2023)
Open Access | Times Cited: 33
Dissociable representations of decision variables within subdivisions of macaque orbitofrontal and ventrolateral frontal cortex
Frederic M. Stoll, Peter H. Rudebeck
Journal of Neuroscience (2024) Vol. 44, Iss. 35, pp. e0464242024-e0464242024
Open Access | Times Cited: 5
Neural signatures of model-based and model-free reinforcement learning across prefrontal cortex and striatum
Bruno Miranda, James L. Butler, Weeratunge Malalasekera, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Distributed representations of temporally accumulated reward prediction errors in the mouse cortex
Hiroshi Makino, Ahmad Suhaimi
Science Advances (2025) Vol. 11, Iss. 4
Open Access
An opponent striatal circuit for distributional reinforcement learning
Adam S. Lowet, Zheng Qiao, Melissa Meng, et al.
Nature (2025)
Open Access
Neural signatures of model-based and model-free reinforcement learning across prefrontal cortex and striatum
Bruno Miranda, James L. Butler, Weeratunge Malalasekera, et al.
(2025)
Open Access
Neural signatures of model-based and model-free reinforcement learning across prefrontal cortex and striatum
Bruno Miranda, James L. Butler, Weeratunge Malalasekera, et al.
(2025)
Open Access
A cognitive map for value-guided choice in the ventromedial prefrontal cortex
Sebastijan Veselič, Timothy Müller, Elena M. Gutierrez-Farewik, et al.
Cell (2025)
Open Access
Advanced Reinforcement Learning and Its Connections with Brain Neuroscience
Chaoqiong Fan, Yao Li, Jiacai Zhang, et al.
Research (2023) Vol. 6, pp. 0064-0064
Open Access | Times Cited: 10
A dual-receptor model of serotonergic psychedelics
Arthur Juliani, Veronica Chelu, Laura Graesser, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Anterior cingulate learns reward distribution
Tao Hong, William R. Stauffer
Nature Neuroscience (2024) Vol. 27, Iss. 3, pp. 391-392
Closed Access | Times Cited: 1
Representational spaces in orbitofrontal and ventromedial prefrontal cortex: task states, values, and beyond
Nir Moneta, Shany Grossman, Nicolas W. Schuck
Trends in Neurosciences (2024)
Open Access | Times Cited: 1
Adaptive value coding and choice behavior
Kenway Louie, Paul W. Glimcher
Elsevier eBooks (2024), pp. 452-466
Closed Access
The adolescent frontal cortex shows stronger population-level encoding of information than the adult during a putative sensitive period
Madeline Klinger, Hongli Wang, Lung-Hao Tai, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Habenula-ventral tegmental area functional coupling and risk-aversion in humans
Wanjun Lin, Jiahua Xu, Xiaoying Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Distributed Deep Reinforcement Learning for Dynamic Task Scheduling in Multi-Robot Systems
Peng Song, Yichen Xiao, Kaixin Cui, et al.
(2024), pp. 1-6
Closed Access
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