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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:

Hierarchical reinforcement learning and decision making
Matthew Botvinick
Current Opinion in Neurobiology (2012) Vol. 22, Iss. 6, pp. 956-962
Closed Access | Times Cited: 229

Showing 1-25 of 229 citing articles:

An opportunity cost model of subjective effort and task performance
Robert Kurzban, Angela Duckworth, Joseph W. Kable, et al.
Behavioral and Brain Sciences (2013) Vol. 36, Iss. 6, pp. 661-679
Open Access | Times Cited: 1245
Goals and Habits in the Brain
Raymond J. Dolan, Peter Dayan
Neuron (2013) Vol. 80, Iss. 2, pp. 312-325
Open Access | Times Cited: 930
Robust speech perception: Recognize the familiar, generalize to the similar, and adapt to the novel.
Dave Kleinschmidt, T. Florian Jaeger
Psychological Review (2015) Vol. 122, Iss. 2, pp. 148-203
Open Access | Times Cited: 583
Learning, Reward, and Decision Making
John P. O’Doherty, Jeffrey Cockburn, Wolfgang M. Pauli
Annual Review of Psychology (2016) Vol. 68, Iss. 1, pp. 73-100
Open Access | Times Cited: 441
The Role of Variability in Motor Learning
Ashesh K. Dhawale, Maurice A. Smith, Bence P. Ölveczky
Annual Review of Neuroscience (2017) Vol. 40, Iss. 1, pp. 479-498
Open Access | Times Cited: 438
Cognitive control over learning: Creating, clustering, and generalizing task-set structure.
Anne Collins, Michael J. Frank
Psychological Review (2013) Vol. 120, Iss. 1, pp. 190-229
Open Access | Times Cited: 407
Mechanisms of motivation–cognition interaction: challenges and opportunities
Todd S. Braver, Marie K. Krug, Kimberly S. Chiew, et al.
Cognitive Affective & Behavioral Neuroscience (2014) Vol. 14, Iss. 2, pp. 443-472
Open Access | Times Cited: 364
The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers
Matthew Botvinick, Jonathan D. Cohen
Cognitive Science (2014) Vol. 38, Iss. 6, pp. 1249-1285
Open Access | Times Cited: 310
Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments
Yuan Chang Leong, Angela Radulescu, Reka Daniel, et al.
Neuron (2017) Vol. 93, Iss. 2, pp. 451-463
Open Access | Times Cited: 301
Dysfunctions of decision‐making and cognitive control as transdiagnostic mechanisms of mental disorders: advances, gaps, and needs in current research
Thomas Goschke
International Journal of Methods in Psychiatric Research (2013) Vol. 23, Iss. S1, pp. 41-57
Open Access | Times Cited: 261
Computational approaches to psychiatry
Klaas Ε. Stephan, Christoph Mathys
Current Opinion in Neurobiology (2014) Vol. 25, pp. 85-92
Closed Access | Times Cited: 257
Reinforcement learning in artificial and biological systems
Emre Neftci, Bruno B. Averbeck
Nature Machine Intelligence (2019) Vol. 1, Iss. 3, pp. 133-143
Closed Access | Times Cited: 250
Executive control and decision-making in the prefrontal cortex
Philippe Domenech, Etienne Koechlin
Current Opinion in Behavioral Sciences (2014) Vol. 1, pp. 101-106
Open Access | Times Cited: 212
Hierarchical control over effortful behavior by rodent medial frontal cortex: A computational model.
Clay B. Holroyd, Samuel M. McClure
Psychological Review (2014) Vol. 122, Iss. 1, pp. 54-83
Closed Access | Times Cited: 201
Banishing the Control Homunculi in Studies of Action Control and Behavior Change
Frederick Verbruggen, Ian P. L. McLaren, Chris Chambers
Perspectives on Psychological Science (2014) Vol. 9, Iss. 5, pp. 497-524
Open Access | Times Cited: 197
Enhancing Attentional Control: Lessons from Action Video Games
Daphné Bavelier, C. Shawn Green
Neuron (2019) Vol. 104, Iss. 1, pp. 147-163
Open Access | Times Cited: 187
The interpretation of computational model parameters depends on the context
Maria K. Eckstein, Sarah L. Master, Liyu Xia, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 72
Schemas, reinforcement learning and the medial prefrontal cortex
Oded Bein, Yael Niv
Nature reviews. Neuroscience (2025)
Open Access | Times Cited: 4
Prediction Error Associated with the Perceptual Segmentation of Naturalistic Events
Jeffrey M. Zacks, Christopher A. Kurby, Michelle L. Eisenberg, et al.
Journal of Cognitive Neuroscience (2011) Vol. 23, Iss. 12, pp. 4057-4066
Open Access | Times Cited: 185
Model-based hierarchical reinforcement learning and human action control
Matthew Botvinick, Ari Weinstein
Philosophical Transactions of the Royal Society B Biological Sciences (2014) Vol. 369, Iss. 1655, pp. 20130480-20130480
Open Access | Times Cited: 168
The role of the midcingulate cortex in monitoring others' decisions
Matthew A J Apps, Patricia L. Lockwood, Joshua H. Balsters
Frontiers in Neuroscience (2013) Vol. 7
Open Access | Times Cited: 120
Toward the neural implementation of structure learning
D. Gowanlock R. Tervo, Joshua B. Tenenbaum, Samuel J. Gershman
Current Opinion in Neurobiology (2016) Vol. 37, pp. 99-105
Closed Access | Times Cited: 111
Neural correlates of strategic reasoning during competitive games
Hyojung Seo, Xinying Cai, Christopher H. Donahue, et al.
Science (2014) Vol. 346, Iss. 6207, pp. 340-343
Open Access | Times Cited: 103
Disruption and rescue of interareal theta phase coupling and adaptive behavior
Robert M. G. Reinhart
Proceedings of the National Academy of Sciences (2017) Vol. 114, Iss. 43, pp. 11542-11547
Open Access | Times Cited: 91
What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience
Maria K. Eckstein, Linda Wilbrecht, Anne Collins
Current Opinion in Behavioral Sciences (2021) Vol. 41, pp. 128-137
Open Access | Times Cited: 84
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