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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:

Reinforcement learning in the brain
Yael Niv
Journal of Mathematical Psychology (2009) Vol. 53, Iss. 3, pp. 139-154
Open Access | Times Cited: 698

Showing 1-25 of 698 citing articles:

Building machines that learn and think like people
Brenden M. Lake, Tomer Ullman, Joshua B. Tenenbaum, et al.
Behavioral and Brain Sciences (2016) Vol. 40
Open Access | Times Cited: 2219
The Mysterious Motivational Functions of Mesolimbic Dopamine
John D. Salamone, Mercè Correa
Neuron (2012) Vol. 76, Iss. 3, pp. 470-485
Open Access | Times Cited: 1302
Goals and Habits in the Brain
Raymond J. Dolan, Peter Dayan
Neuron (2013) Vol. 80, Iss. 2, pp. 312-325
Open Access | Times Cited: 931
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet, Peter Henderson, Riashat Islam, et al.
Foundations and Trends® in Machine Learning (2018) Vol. 11, Iss. 3-4, pp. 219-354
Open Access | Times Cited: 912
Motivation and Cognitive Control: From Behavior to Neural Mechanism
Matthew Botvinick, Todd S. Braver
Annual Review of Psychology (2014) Vol. 66, Iss. 1, pp. 83-113
Open Access | Times Cited: 844
Motivation of extended behaviors by anterior cingulate cortex
Clay B. Holroyd, Nick Yeung
Trends in Cognitive Sciences (2012) Vol. 16, Iss. 2, pp. 122-128
Closed Access | Times Cited: 602
Human Orbitofrontal Cortex Represents a Cognitive Map of State Space
Nicolas W. Schuck, Ming Bo Cai, Robert C. Wilson, et al.
Neuron (2016) Vol. 91, Iss. 6, pp. 1402-1412
Open Access | Times Cited: 554
An Approximately Bayesian Delta-Rule Model Explains the Dynamics of Belief Updating in a Changing Environment
Matthew R. Nassar, Robert C. Wilson, Benjamin S. Heasly, et al.
Journal of Neuroscience (2010) Vol. 30, Iss. 37, pp. 12366-12378
Open Access | Times Cited: 521
Opponency Revisited: Competition and Cooperation Between Dopamine and Serotonin
Y-Lan Boureau, Peter Dayan
Neuropsychopharmacology (2010) Vol. 36, Iss. 1, pp. 74-97
Open Access | Times Cited: 453
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: 440
Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework
Samuel J. Gershman, Nathaniel D. Daw
Annual Review of Psychology (2016) Vol. 68, Iss. 1, pp. 101-128
Open Access | Times Cited: 439
40 years of cognitive architectures: core cognitive abilities and practical applications
Iuliia Kotseruba, John K. Tsotsos
Artificial Intelligence Review (2018) Vol. 53, Iss. 1, pp. 17-94
Open Access | Times Cited: 415
Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms
Yael Niv, Reka Daniel, Andra Geana, et al.
Journal of Neuroscience (2015) Vol. 35, Iss. 21, pp. 8145-8157
Open Access | Times Cited: 378
Neural Prediction Errors Reveal a Risk-Sensitive Reinforcement-Learning Process in the Human Brain
Yael Niv, Jeffrey A. Edlund, Peter Dayan, et al.
Journal of Neuroscience (2012) Vol. 32, Iss. 2, pp. 551-562
Open Access | Times Cited: 369
Mood as Representation of Momentum
Eran Eldar, Robb B. Rutledge, Raymond J. Dolan, et al.
Trends in Cognitive Sciences (2015) Vol. 20, Iss. 1, pp. 15-24
Open Access | Times Cited: 345
Artificial Neural Networks for Neuroscientists: A Primer
Guangyu Robert Yang, Xiao‐Jing Wang
Neuron (2020) Vol. 107, Iss. 6, pp. 1048-1070
Open Access | Times Cited: 291
Planning as inference
Matthew Botvinick, Marc Toussaint
Trends in Cognitive Sciences (2012) Vol. 16, Iss. 10, pp. 485-488
Closed Access | Times Cited: 282
A Unified Framework for Dopamine Signals across Timescales
HyungGoo R. Kim, Athar N. Malik, John G. Mikhael, et al.
Cell (2020) Vol. 183, Iss. 6, pp. 1600-1616.e25
Open Access | Times Cited: 277
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: 263
Dopamine Does Double Duty in Motivating Cognitive Effort
Andrew Westbrook, Todd S. Braver
Neuron (2016) Vol. 89, Iss. 4, pp. 695-710
Open Access | Times Cited: 262
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Joel Z. Leibo, Vinícius Zambaldi, Marc Lanctot, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 251
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
Retrospective revaluation in sequential decision making: A tale of two systems.
Samuel J. Gershman, Arthur B. Markman, A. Ross Otto
Journal of Experimental Psychology General (2012) Vol. 143, Iss. 1, pp. 182-194
Closed Access | Times Cited: 220
Deep Reinforcement Learning and Its Neuroscientific Implications
Matthew Botvinick, Jane X. Wang, Will Dabney, et al.
Neuron (2020) Vol. 107, Iss. 4, pp. 603-616
Open Access | Times Cited: 205
Reinforcement learning in depression: A review of computational research
Chong Chen, Taiki Takahashi, Shin Nakagawa, et al.
Neuroscience & Biobehavioral Reviews (2015) Vol. 55, pp. 247-267
Closed Access | Times Cited: 204
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