
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:
Dopamine role in learning and action inference
Rafał Bogacz
eLife (2020) Vol. 9
Open Access | Times Cited: 60
Rafał Bogacz
eLife (2020) Vol. 9
Open Access | Times Cited: 60
Showing 1-25 of 60 citing articles:
A feature-specific prediction error model explains dopaminergic heterogeneity
Rachel S. Lee, Yotam Sagiv, Ben Engelhard, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 8, pp. 1574-1586
Closed Access | Times Cited: 33
Rachel S. Lee, Yotam Sagiv, Ben Engelhard, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 8, pp. 1574-1586
Closed Access | Times Cited: 33
Spiking Neural Networks: A Survey
João D. Nunes, Marcelo Carvalho, Diogo Carneiro, et al.
IEEE Access (2022) Vol. 10, pp. 60738-60764
Open Access | Times Cited: 60
João D. Nunes, Marcelo Carvalho, Diogo Carneiro, et al.
IEEE Access (2022) Vol. 10, pp. 60738-60764
Open Access | Times Cited: 60
Action prediction error: a value-free dopaminergic teaching signal that drives stable learning
Francesca Greenstreet, Hernando M. Vergara, Yvonne Johansson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 39
Francesca Greenstreet, Hernando M. Vergara, Yvonne Johansson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 39
Explaining dopamine through prediction errors and beyond
Samuel J. Gershman, John A. Assad, Sandeep Robert Datta, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 9, pp. 1645-1655
Closed Access | Times Cited: 14
Samuel J. Gershman, John A. Assad, Sandeep Robert Datta, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 9, pp. 1645-1655
Closed Access | Times Cited: 14
Hippocampal neuronal activity is aligned with action plans
Ipshita Zutshi, Athina Apostolelli, Wannan Yang, et al.
Nature (2025) Vol. 639, Iss. 8053, pp. 153-161
Open Access | Times Cited: 1
Ipshita Zutshi, Athina Apostolelli, Wannan Yang, et al.
Nature (2025) Vol. 639, Iss. 8053, pp. 153-161
Open Access | Times Cited: 1
A feature-specific prediction error model explains dopaminergic heterogeneity
Rachel S. Lee, Yotam Sagiv, Ben Engelhard, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 33
Rachel S. Lee, Yotam Sagiv, Ben Engelhard, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 33
Subthalamic control of impulsive actions: insights from deep brain stimulation in Parkinson’s disease
Damian M. Herz, Michael J. Frank, Huiling Tan, et al.
Brain (2024) Vol. 147, Iss. 11, pp. 3651-3664
Open Access | Times Cited: 5
Damian M. Herz, Michael J. Frank, Huiling Tan, et al.
Brain (2024) Vol. 147, Iss. 11, pp. 3651-3664
Open Access | Times Cited: 5
Noradrenergic and Dopaminergic modulation of meta-cognition and meta-control
Sara Ershadmanesh, S Rajabi, Reza Rostami, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 2, pp. e1012675-e1012675
Open Access
Sara Ershadmanesh, S Rajabi, Reza Rostami, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 2, pp. e1012675-e1012675
Open Access
Reward Bases: A simple mechanism for adaptive acquisition of multiple reward types
Beren Millidge, Yuhang Song, Armin Lak, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 11, pp. e1012580-e1012580
Open Access | Times Cited: 4
Beren Millidge, Yuhang Song, Armin Lak, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 11, pp. e1012580-e1012580
Open Access | Times Cited: 4
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
Beren Millidge, Tommaso Salvatori, Yuhang Song, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 5538-5545
Open Access | Times Cited: 16
Beren Millidge, Tommaso Salvatori, Yuhang Song, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 5538-5545
Open Access | Times Cited: 16
Striatal dopamine reflects individual long-term learning trajectories
Samuel Liebana Garcia, Aeron Laffere, Chiara Toschi, et al.
(2023)
Closed Access | Times Cited: 8
Samuel Liebana Garcia, Aeron Laffere, Chiara Toschi, et al.
(2023)
Closed Access | Times Cited: 8
Modelling cognitive flexibility with deep neural networks
Kai Sandbrink, Christopher Summerfield
Current Opinion in Behavioral Sciences (2024) Vol. 57, pp. 101361-101361
Open Access | Times Cited: 2
Kai Sandbrink, Christopher Summerfield
Current Opinion in Behavioral Sciences (2024) Vol. 57, pp. 101361-101361
Open Access | Times Cited: 2
Does music training improve inhibition control in children? A systematic review and meta-analysis
Kevin Jamey, Nicholas E.V. Foster, Krista L. Hyde, et al.
Cognition (2024) Vol. 252, pp. 105913-105913
Open Access | Times Cited: 2
Kevin Jamey, Nicholas E.V. Foster, Krista L. Hyde, et al.
Cognition (2024) Vol. 252, pp. 105913-105913
Open Access | Times Cited: 2
An association between prediction errors and risk-seeking: Theory and behavioral evidence
Moritz Moeller, Jan Grohn, Sanjay Manohar, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 7, pp. e1009213-e1009213
Open Access | Times Cited: 16
Moritz Moeller, Jan Grohn, Sanjay Manohar, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 7, pp. e1009213-e1009213
Open Access | Times Cited: 16
Uncertainty–guided learning with scaled prediction errors in the basal ganglia
Moritz Möller, Sanjay Manohar, Rafał Bogacz
PLoS Computational Biology (2022) Vol. 18, Iss. 5, pp. e1009816-e1009816
Open Access | Times Cited: 11
Moritz Möller, Sanjay Manohar, Rafał Bogacz
PLoS Computational Biology (2022) Vol. 18, Iss. 5, pp. e1009816-e1009816
Open Access | Times Cited: 11
Reward-Bases: Dopaminergic Mechanisms for Adaptive Acquisition of Multiple Reward Types
Beren Millidge, Yuhang Song, Armin Lak, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Beren Millidge, Yuhang Song, Armin Lak, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Involvement of A13 dopaminergic neurons in prehensile movements but not reward in the rat
Celia Garau, Jessica Hayes, Giulia Chiacchierini, et al.
Current Biology (2023) Vol. 33, Iss. 22, pp. 4786-4797.e4
Open Access | Times Cited: 6
Celia Garau, Jessica Hayes, Giulia Chiacchierini, et al.
Current Biology (2023) Vol. 33, Iss. 22, pp. 4786-4797.e4
Open Access | Times Cited: 6
A multiscale model of striatum microcircuit dynamics
Federico Tesler, Alexander Kozlov, Sten Grillner, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Federico Tesler, Alexander Kozlov, Sten Grillner, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
The dopamine circuit as a reward-taxis navigation system
Omer Karin, Uri Alon
PLoS Computational Biology (2022) Vol. 18, Iss. 7, pp. e1010340-e1010340
Open Access | Times Cited: 9
Omer Karin, Uri Alon
PLoS Computational Biology (2022) Vol. 18, Iss. 7, pp. e1010340-e1010340
Open Access | Times Cited: 9
Bayesian mechanics of perceptual inference and motor control in the brain
Chang Sub Kim
Biological Cybernetics (2021) Vol. 115, Iss. 1, pp. 87-102
Open Access | Times Cited: 12
Chang Sub Kim
Biological Cybernetics (2021) Vol. 115, Iss. 1, pp. 87-102
Open Access | Times Cited: 12
The successor representation subserves hierarchical abstraction for goal-directed behavior
Sven Wientjes, Clay B. Holroyd
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011312-e1011312
Open Access | Times Cited: 1
Sven Wientjes, Clay B. Holroyd
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011312-e1011312
Open Access | Times Cited: 1
Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts
Jaron T. Colas, John P. O’Doherty, Scott T. Grafton
PLoS Computational Biology (2024) Vol. 20, Iss. 3, pp. e1011950-e1011950
Open Access | Times Cited: 1
Jaron T. Colas, John P. O’Doherty, Scott T. Grafton
PLoS Computational Biology (2024) Vol. 20, Iss. 3, pp. e1011950-e1011950
Open Access | Times Cited: 1
Dopamine and deep brain stimulation accelerate the neural dynamics of volitional action in Parkinson’s disease
Richard M. Köhler, Thomas S. Binns, Timon Merk, et al.
Brain (2024) Vol. 147, Iss. 10, pp. 3358-3369
Open Access | Times Cited: 1
Richard M. Köhler, Thomas S. Binns, Timon Merk, et al.
Brain (2024) Vol. 147, Iss. 10, pp. 3358-3369
Open Access | Times Cited: 1
“But why?” Dopamine and causal learning
Vijay MK Namboodiri
Current Opinion in Behavioral Sciences (2024) Vol. 60, pp. 101443-101443
Closed Access | Times Cited: 1
Vijay MK Namboodiri
Current Opinion in Behavioral Sciences (2024) Vol. 60, pp. 101443-101443
Closed Access | Times Cited: 1
Dopamine builds and reveals reward-associated latent behavioral attractors
Jérémie Naudé, Matthieu Sarazin, Sarah Mondoloni, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Jérémie Naudé, Matthieu Sarazin, Sarah Mondoloni, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1