Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data
Mads L. Pedersen, Michael J. Frank
Computational Brain & Behavior (2020) Vol. 3, Iss. 4, pp. 458-471
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience
Alexander Fengler, Lakshmi Narasimhan Govindarajan, Tony Chen, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 60
A new model of decision processing in instrumental learning tasks
Steven Miletić, Russell J. Boag, Anne C. Trutti, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 54
Persistent activity in human parietal cortex mediates perceptual choice repetition bias
Anne E. Urai, Tobias H. Donner
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 34
Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches
Allison M. Letkiewicz, Haley C. Kottler, Stewart A. Shankman, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 147, pp. 105103-105103
Open Access | Times Cited: 19
A core component of psychological therapy causes adaptive changes in computational learning mechanisms
Quentin Dercon, Sara Z. Mehrhof, Timothy R. Sandhu, et al.
Psychological Medicine (2023) Vol. 54, Iss. 2, pp. 327-337
Open Access | Times Cited: 16
Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM
Alexander Fengler, Krishn Bera, Mads L. Pedersen, et al.
Journal of Cognitive Neuroscience (2022) Vol. 34, Iss. 10, pp. 1780-1805
Closed Access | Times Cited: 24
Functional brain activations correlated with association strength and prediction error during novel symbol-speech sound learning
Gorka Fraga González, Patrick Haller, David Willinger, et al.
Imaging Neuroscience (2025) Vol. 3
Open Access
Transcutaneous Vagus Nerve Stimulation Enhances Probabilistic Learning
Resul Çakır, İlkim Büyükgüdük, Petek Bilim, et al.
Psychophysiology (2025) Vol. 62, Iss. 3
Open Access
Dopamine regulates decision thresholds in human reinforcement learning in males
Karima Chakroun, Antonius Wiehler, Ben Wagner, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Mechanisms of increased pain discrimination by contingent reinforcement: a perceptual decision-making and instrumental learning account
Fabrice Hubschmid, Melissa Luna Flury, Martin Löffler, et al.
Pain (2025)
Closed Access
Reinforcement learning in women remitted from anorexia nervosa: Preliminary examination with a hybrid reinforcement learning/drift diffusion model
Christina E. Wierenga, Amanda Bischoff‐Grethe, Carina Brown, et al.
Journal of the International Neuropsychological Society (2025), pp. 1-11
Closed Access
dockerHDDM: A User-Friendly Environment for Bayesian Hierarchical Drift-Diffusion Modeling
Wanke Pan, Haiyang Geng, Lei Zhang, et al.
Advances in Methods and Practices in Psychological Science (2025) Vol. 8, Iss. 1
Open Access
Neurocomputational models of altruistic decision‐making and social motives: Advances, pitfalls, and future directions
Anita Tusche, Lisa M. Bas
Wiley Interdisciplinary Reviews Cognitive Science (2021) Vol. 12, Iss. 6
Open Access | Times Cited: 25
Self-judgment dissected: A computational modeling analysis of self-referential processing and its relationship to trait mindfulness facets and depression symptoms
Peter Hitchcock, Willoughby B. Britton, Kahini Mehta, et al.
Cognitive Affective & Behavioral Neuroscience (2022) Vol. 23, Iss. 1, pp. 171-189
Open Access | Times Cited: 17
Computational approaches to modeling gambling behaviour: Opportunities for understanding disordered gambling
Claire A. Hales, Luke Clark, Catharine A. Winstanley
Neuroscience & Biobehavioral Reviews (2023) Vol. 147, pp. 105083-105083
Closed Access | Times Cited: 9
Time-evolving psychological processes over repeated decisions.
David Gunawan, Guy E. Hawkins, Robert Kohn, et al.
Psychological Review (2022) Vol. 129, Iss. 3, pp. 438-456
Open Access | Times Cited: 14
A Hitchhiker’s Guide to Bayesian Hierarchical Drift-Diffusion Modeling with dockerHDDM
Wanke Pan, Haiyang Geng, Lei Zhang, et al.
(2022)
Open Access | Times Cited: 13
Using Drift Diffusion and RL Models to Disentangle Effects of Depression On Decision-Making vs. Learning in the Probabilistic Reward Task
Daniel G. Dillon, Emily L. Belleau, Julianne Origlio, et al.
Computational Psychiatry (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Sticky me: Self-relevance slows reinforcement learning
Marius Golubickis, C. Neil Macrae
Cognition (2022) Vol. 227, pp. 105207-105207
Open Access | Times Cited: 11
Behavioral and electrocortical effects of transcranial alternating current stimulation during advice-guided decision-making
Miles Wischnewski, Ivan Alekseichuk, Dennis J.L.G. Schutter
Neuroimage Reports (2021) Vol. 1, Iss. 4, pp. 100052-100052
Open Access | Times Cited: 13
Identifying the duration of emotional stimulus presentation for conscious versus subconscious perception via hierarchical drift diffusion models
Julia Schräder, Ute Habel, Han‐Gue Jo, et al.
Consciousness and Cognition (2023) Vol. 110, pp. 103493-103493
Open Access | Times Cited: 5
Reinforcement learning with associative or discriminative generalization across states and actions: fMRI at 3 T and 7 T
Jaron T. Colas, Neil M. Dundon, Raphael T. Gerraty, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 15, pp. 4750-4790
Open Access | Times Cited: 8
The power of the unexpected: Prediction errors enhance stereotype-based learning
Johanna K. Falbén, Marius Golubickis, Dimitra Tsamadi, et al.
Cognition (2023) Vol. 235, pp. 105386-105386
Open Access | Times Cited: 4
Brief mindfulness-based meditation enhances the speed of learning following positive prediction errors
Marius Golubickis, Lucy Tan, Parnian Jalalian, et al.
Quarterly Journal of Experimental Psychology (2024) Vol. 77, Iss. 11, pp. 2312-2324
Open Access | Times Cited: 1
Stimulus valence moderates self-learning
Parnian Jalalian, Saga L. Svensson, Marius Golubickis, et al.
Cognition & Emotion (2024) Vol. 38, Iss. 6, pp. 884-897
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top