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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:

Beyond dichotomies in reinforcement learning
Anne Collins, Jeffrey Cockburn
Nature reviews. Neuroscience (2020) Vol. 21, Iss. 10, pp. 576-586
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 4929-5021
Open Access | Times Cited: 266
Mesolimbic dopamine adapts the rate of learning from action
Luke T. Coddington, Sarah Lindo, Joshua T. Dudman
Nature (2023) Vol. 614, Iss. 7947, pp. 294-302
Open Access | Times Cited: 84
The Computational Theory of Mind
Matteo Colombo, Gualtiero Piccinini
(2023)
Closed Access | Times Cited: 76
Taking stock of value in the orbitofrontal cortex
Eric B. Knudsen, Joni D. Wallis
Nature reviews. Neuroscience (2022) Vol. 23, Iss. 7, pp. 428-438
Open Access | Times Cited: 69
Goal-directed learning in adolescence: neurocognitive development and contextual influences
Linda Wilbrecht, Juliet Y. Davidow
Nature reviews. Neuroscience (2024) Vol. 25, Iss. 3, pp. 176-194
Closed Access | Times Cited: 16
Reinforcement-learning in fronto-striatal circuits
Bruno B. Averbeck, John P. O’Doherty
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 147-162
Open Access | Times Cited: 94
The Best Laid Plans: Computational Principles of Anterior Cingulate Cortex
Clay B. Holroyd, Tom Verguts
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 4, pp. 316-329
Closed Access | Times Cited: 77
Adolescent risk-taking in the context of exploration and social influence
Simon Ciranka, Wouter van den Bos
Developmental Review (2021) Vol. 61, pp. 100979-100979
Open Access | Times Cited: 65
Advances in modeling learning and decision-making in neuroscience
Anne Collins, Amitai Shenhav
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 104-118
Open Access | Times Cited: 62
Computational models of adaptive behavior and prefrontal cortex
Alireza Soltani, Etienne Koechlin
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 58-71
Open Access | Times Cited: 59
Novelty and uncertainty regulate the balance between exploration and exploitation through distinct mechanisms in the human brain
Jeffrey Cockburn, Vincent Man, William A. Cunningham, et al.
Neuron (2022) Vol. 110, Iss. 16, pp. 2691-2702.e8
Open Access | Times Cited: 55
Understanding the effects of serotonin in the brain through its role in the gastrointestinal tract
James M. Shine, Claire O’Callaghan, Ishan C. Walpola, et al.
Brain (2022) Vol. 145, Iss. 9, pp. 2967-2981
Closed Access | Times Cited: 44
PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing
Xiaolong Xu, Wentao Liu, Yulan Zhang, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 5, pp. 1-22
Closed Access | Times Cited: 42
Choice-selective sequences dominate in cortical relative to thalamic inputs to NAc to support reinforcement learning
Nathan F. Parker, Avinash Baidya, Julia Cox, et al.
Cell Reports (2022) Vol. 39, Iss. 7, pp. 110756-110756
Open Access | Times Cited: 40
Humans rationally balance detailed and temporally abstract world models
Ari E. Kahn, Nathaniel D. Daw
Communications Psychology (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 1
How Working Memory and Reinforcement Learning Are Intertwined: A Cognitive, Neural, and Computational Perspective
Aspen H. Yoo, Anne Collins
Journal of Cognitive Neuroscience (2021) Vol. 34, Iss. 4, pp. 551-568
Open Access | Times Cited: 47
Explicit knowledge of task structure is a primary determinant of human model-based action
Pedro Castro-Rodrigues, Thomas Akam, Ivar Snorasson, et al.
Nature Human Behaviour (2022) Vol. 6, Iss. 8, pp. 1126-1141
Open Access | Times Cited: 36
Latent-state and model-based learning in PTSD
Josh M. Cisler, Joseph E. Dunsmoor, Gregory A. Fonzo, et al.
Trends in Neurosciences (2024) Vol. 47, Iss. 2, pp. 150-162
Closed Access | Times Cited: 6
Hierarchical control over foraging behavior by anterior cingulate cortex
Ricardo J. Alejandro, Clay B. Holroyd
Neuroscience & Biobehavioral Reviews (2024) Vol. 160, pp. 105623-105623
Closed Access | Times Cited: 6
Long-Term Motor Learning in the “Wild” With High Volume Video Game Data
Jennifer B. Listman, Jonathan S. Tsay, Hyosub E. Kim, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 35
Rethinking model-based and model-free influences on mental effort and striatal prediction errors
Carolina Feher da Silva, Gaia Lombardi, Micah Edelson, et al.
Nature Human Behaviour (2023) Vol. 7, Iss. 6, pp. 956-969
Closed Access | Times Cited: 15
Strong and weak alignment of large language models with human values
Mehdi Khamassi, Marceau Nahon, Raja Chatila
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
New roles for dopamine in motor skill acquisition: lessons from primates, rodents, and songbirds
Alynda N. Wood
Journal of Neurophysiology (2021) Vol. 125, Iss. 6, pp. 2361-2374
Open Access | Times Cited: 29
Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control
Tom Macpherson, Masayuki Matsumoto, Hiroaki Gomi, et al.
Neural Networks (2021) Vol. 144, pp. 507-521
Open Access | Times Cited: 27
Human value learning and representation reflect rational adaptation to task demands
Keno Juechems, Tugba Altun, Rita Hira, et al.
Nature Human Behaviour (2022) Vol. 6, Iss. 9, pp. 1268-1279
Open Access | Times Cited: 19
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