Michael J. Frank
Orcid: 0000-0001-8451-0523Affiliations:
- Brown University, Brown Institute for Brain Science, Providence, RI, USA
According to our database1,
Michael J. Frank authored at least 34 papers
between 2005 and 2026.
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Bibliography
2026
2025
Many roads to minimizing regret: A comparison of Wang et al (2024) and OpAL* models of adaptive striatal dopamine.
PLoS Comput. Biol., 2025
Learning imposes a bottleneck beyond anatomical constraints: a computational investigation into the nature of WM capacity limits.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
Fast and robust Bayesian inference for modular combinations of dynamic learning and decision models.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
2024
Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
2023
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning.
CoRR, 2023
2022
Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits.
PLoS Comput. Biol., 2022
Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM.
J. Cogn. Neurosci., 2022
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning.
Artif. Intell., 2022
2021
Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence.
PLoS Comput. Biol., 2021
Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder.
PLoS Comput. Biol., 2021
2020
PLoS Comput. Biol., 2020
Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning.
PLoS Comput. Biol., 2020
An evidence accumulation model of motivational and developmental influences over sustained attention.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Encoder-Decoder Neural Architectures for Fast Amortized Inference of Cognitive Process Models.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
2019
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies.
PLoS Comput. Biol., 2019
2018
J. Cogn. Neurosci., 2018
2016
J. Cogn. Neurosci., 2016
2015
Striatal D1 and D2 signaling differentially predict learning from positive and negative outcomes.
NeuroImage, 2015
2014
2013
Frontiers Neuroinformatics, 2013
2012
Reinforcement-Based Decision Making in Corticostriatal Circuits: Mutual Constraints by Neurocomputational and Diffusion Models.
Neural Comput., 2012
2010
Dissociable responses to punishment in distinct striatal regions during reversal learning.
NeuroImage, 2010
Frontal theta links prediction errors to behavioral adaptation in reinforcement learning.
NeuroImage, 2010
2006
Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making.
Neural Networks, 2006
Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia.
Neural Comput., 2006
2005
Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism.
J. Cogn. Neurosci., 2005