
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:
A distributional code for value in dopamine-based reinforcement learning
Will Dabney, Zeb Kurth‐Nelson, Naoshige Uchida, et al.
Nature (2020) Vol. 577, Iss. 7792, pp. 671-675
Open Access | Times Cited: 380
Will Dabney, Zeb Kurth‐Nelson, Naoshige Uchida, et al.
Nature (2020) Vol. 577, Iss. 7792, pp. 671-675
Open Access | Times Cited: 380
Showing 1-25 of 380 citing articles:
A Metaverse: Taxonomy, Components, Applications, and Open Challenges
Sangmin Park, Young‐Gab Kim
IEEE Access (2022) Vol. 10, pp. 4209-4251
Open Access | Times Cited: 1324
Sangmin Park, Young‐Gab Kim
IEEE Access (2022) Vol. 10, pp. 4209-4251
Open Access | Times Cited: 1324
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: 273
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: 273
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: 204
Matthew Botvinick, Jane X. Wang, Will Dabney, et al.
Neuron (2020) Vol. 107, Iss. 4, pp. 603-616
Open Access | Times Cited: 204
Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics
James M. Shine, Eli J. Műller, Brandon R. Munn, et al.
Nature Neuroscience (2021) Vol. 24, Iss. 6, pp. 765-776
Closed Access | Times Cited: 191
James M. Shine, Eli J. Műller, Brandon R. Munn, et al.
Nature Neuroscience (2021) Vol. 24, Iss. 6, pp. 765-776
Closed Access | Times Cited: 191
Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment
Arif Hamid, Michael J. Frank, Christopher I. Moore
Cell (2021) Vol. 184, Iss. 10, pp. 2733-2749.e16
Open Access | Times Cited: 190
Arif Hamid, Michael J. Frank, Christopher I. Moore
Cell (2021) Vol. 184, Iss. 10, pp. 2733-2749.e16
Open Access | Times Cited: 190
The prefrontal cortex, pathological anxiety, and anxiety disorders
Margaux M. Kenwood, Ned H. Kalin, Helen Barbas
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 260-275
Open Access | Times Cited: 177
Margaux M. Kenwood, Ned H. Kalin, Helen Barbas
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 260-275
Open Access | Times Cited: 177
Medial and orbital frontal cortex in decision-making and flexible behavior
Miriam C. Klein-Flügge, Alessandro Bongioanni, Matthew F. S. Rushworth
Neuron (2022) Vol. 110, Iss. 17, pp. 2743-2770
Open Access | Times Cited: 159
Miriam C. Klein-Flügge, Alessandro Bongioanni, Matthew F. S. Rushworth
Neuron (2022) Vol. 110, Iss. 17, pp. 2743-2770
Open Access | Times Cited: 159
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors
Jingliang Duan, Yang Guan, Shengbo Eben Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 11, pp. 6584-6598
Open Access | Times Cited: 149
Jingliang Duan, Yang Guan, Shengbo Eben Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 11, pp. 6584-6598
Open Access | Times Cited: 149
Neuromodulation of prefrontal cortex cognitive function in primates: the powerful roles of monoamines and acetylcholine
Roshan Cools, Amy F.T. Arnsten
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 309-328
Open Access | Times Cited: 140
Roshan Cools, Amy F.T. Arnsten
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 309-328
Open Access | Times Cited: 140
The neuroconnectionist research programme
Adrien Doerig, Rowan P. Sommers, Katja Seeliger, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 7, pp. 431-450
Open Access | Times Cited: 132
Adrien Doerig, Rowan P. Sommers, Katja Seeliger, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 7, pp. 431-450
Open Access | Times Cited: 132
Serotonin neurons modulate learning rate through uncertainty
Cooper D. Grossman, Bilal A. Bari, Jeremiah Y. Cohen
Current Biology (2021) Vol. 32, Iss. 3, pp. 586-599.e7
Open Access | Times Cited: 112
Cooper D. Grossman, Bilal A. Bari, Jeremiah Y. Cohen
Current Biology (2021) Vol. 32, Iss. 3, pp. 586-599.e7
Open Access | Times Cited: 112
Navigating for reward
Marielena Sosa, Lisa M. Giocomo
Nature reviews. Neuroscience (2021) Vol. 22, Iss. 8, pp. 472-487
Open Access | Times Cited: 108
Marielena Sosa, Lisa M. Giocomo
Nature reviews. Neuroscience (2021) Vol. 22, Iss. 8, pp. 472-487
Open Access | Times Cited: 108
Unique functional responses differentially map onto genetic subtypes of dopamine neurons
Maite Azcorra, Zachary Gaertner, Connor Davidson, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 10, pp. 1762-1774
Open Access | Times Cited: 82
Maite Azcorra, Zachary Gaertner, Connor Davidson, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 10, pp. 1762-1774
Open Access | Times Cited: 82
The Computational Theory of Mind
Matteo Colombo, Gualtiero Piccinini
(2023)
Closed Access | Times Cited: 76
Matteo Colombo, Gualtiero Piccinini
(2023)
Closed Access | Times Cited: 76
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
Maria K. Eckstein, Sarah L. Master, Liyu Xia, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 72
Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3062-3062
Open Access | Times Cited: 58
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3062-3062
Open Access | Times Cited: 58
The nature and neurobiology of fear and anxiety: State of the science and opportunities for accelerating discovery
Shannon E. Grogans, Eliza Bliss‐Moreau, Kristin A. Buss, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 151, pp. 105237-105237
Closed Access | Times Cited: 44
Shannon E. Grogans, Eliza Bliss‐Moreau, Kristin A. Buss, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 151, pp. 105237-105237
Closed Access | Times Cited: 44
Hierarchical architecture of dopaminergic circuits enables second-order conditioning in Drosophila
Daichi Yamada, Daniel Bushey, Feng Li, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 43
Daichi Yamada, Daniel Bushey, Feng Li, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 43
Dopamine transients follow a striatal gradient of reward time horizons
Ali Mohebi, Wei Wei, Lilian Pelattini, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 4, pp. 737-746
Open Access | Times Cited: 40
Ali Mohebi, Wei Wei, Lilian Pelattini, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 4, pp. 737-746
Open Access | Times Cited: 40
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
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: 16
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: 16
Advances in the computational understanding of mental illness
Quentin J. M. Huys, Michael Browning, Martin P. Paulus, et al.
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 3-19
Open Access | Times Cited: 136
Quentin J. M. Huys, Michael Browning, Martin P. Paulus, et al.
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 3-19
Open Access | Times Cited: 136
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
Anne Collins, Jeffrey Cockburn
Nature reviews. Neuroscience (2020) Vol. 21, Iss. 10, pp. 576-586
Open Access | Times Cited: 103
Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
Tom Macpherson, Anne K. Churchland, Terry Sejnowski, et al.
Neural Networks (2021) Vol. 144, pp. 603-613
Open Access | Times Cited: 102
Tom Macpherson, Anne K. Churchland, Terry Sejnowski, et al.
Neural Networks (2021) Vol. 144, pp. 603-613
Open Access | Times Cited: 102
Dopamine, Updated: Reward Prediction Error and Beyond
Talia N. Lerner, Ashley L. Holloway, Jillian L. Seiler
Current Opinion in Neurobiology (2020) Vol. 67, pp. 123-130
Open Access | Times Cited: 101
Talia N. Lerner, Ashley L. Holloway, Jillian L. Seiler
Current Opinion in Neurobiology (2020) Vol. 67, pp. 123-130
Open Access | Times Cited: 101